  | Haase, L., Belkacemi, A., Neises, L., Kiweler, N., Wesely, C., Huchzermeier, R., Bozic, M., Khakdan, A., Sánchez, M., MARY, A., Sachs, N., Winter, H., GLAAB, E., HENEKA, M., van der Vorst, E. P., Mittelbronn, M., Meiser, J., & SCHNEIDER, J. (2025). Modulation of the Acod1/itaconate pathway differentially affects atherosclerosis severity across genetic models and sexes. Journal of Clinical Investigation. doi:10.1172/JCI182472  Peer Reviewed verified by ORBi |
 | GLAAB, E. (04 April 2025). Comprehensive blood metabolome analysis of Parkinson’s disease [Paper presentation]. AD/PD™ 2025 Alzheimer's & Parkinson's Diseases Conference, Vienna, Austria. |
 | GLAAB, E. (27 March 2025). Computational analysis of sex differences in omics data for Alzheimer’s and Parkinson’s disease [Paper presentation]. 16th Göttingen Meeting of the German Neuroscience Society, Göttingen, Germany. |
 | GLAAB, E. (10 March 2025). Molecular sex differences in Alzheimer’s disease [Paper presentation]. Fondation Wivine Meeting, Luxembourg. |
 | Loo, R. T. J., Nasta, F., Macchi, M., Baudot, A., Burstein, F., Bove, R., Greve, M., Fröhlich, H., Khalid, S., Küderle, A., Moore, S. L., Storms, V., Torous, J., & GLAAB, E. (2025). Recommendations For Successful Development And Implementation Of Digital Health Technology Tools. Journal of Medical Internet Research, 27 (e56747). doi:10.2196/56747 Peer Reviewed verified by ORBi |
  | Loo, R. T. J., Pavelka, L., Mangone, G., Khoury, F., Vidailhet, M., Corvol, J.-C., Krüger, R., & GLAAB, E. (2025). Interpretable Machine Learning for Cross-Cohort Prediction of Motor Fluctuations in Parkinson s Disease. Movement Disorders, in press. doi:10.1002/mds.30223 Peer Reviewed verified by ORBi |
 | Hähnel, T., Raschka, T., Klucken, J., GLAAB, E., Corvol, J.-C., Falkenburger, B. H., & Fröhlich, H. (2025). Predictive modeling to uncover Parkinson s disease characteristics that delay diagnosis. NPJ Parkinson's Disease, 11 (64). doi:10.1038/s41531-025-00571-4 Peer Reviewed verified by ORBi |
 | Ali, M., Garcia, P., Lunkes, L. P., Sciortino, A., Thomas, M., Heurtaux, T., Grzyb, K., Halder, R., Skupin, A., Buée, L., Blum, D., Buttini, M., & GLAAB, E. (2025). Temporal Transcriptomic Changes in the THY-Tau22 Mouse Model of Tauopathy Display Cell Type- and Sex-Specific Differences. Acta Neuropathologica Communications, in press. doi:10.1186/s40478-025-02013-z Peer Reviewed verified by ORBi |
 | Fröhlich, H., Raschka, T., To, J., Hähnel, T., Sapienza, S., Ibrahim, A., GLAAB, E., Gaßner, H., Steidl, R., Winkler, J. R., Corvol, J.-C., & Klucken, J. (2025). Objective Monitoring of Motor Symptom Severity and their Progression in Parkinson's Disease Using a Digital Gait Device. Scientific Reports, in press. Peer Reviewed verified by ORBi |
 | Svinin, G., Loo, R. T. J., Soudy, M., Nasta, F., Le Bars, S., & GLAAB, E. (2025). Computational systems biology methods for cross-disease comparison of omics data. Wiley Interdisciplinary Reviews: Computational Molecular Science, in press (in press). doi:10.1002/wcms.70042 Peer reviewed |
 | Loo, R. T. J., Pavelka, L., Mangone, G., Khoury, F., Vidailhet, M., Corvol, J.-C., & GLAAB, E. (2025). Multi-cohort Machine Learning Identifies Predictors of Cognitive Impairment in Parkinson's Disease. npj Digital Medicine, in press (in press). doi:10.1038/s41746-025-01862-1 Peer Reviewed verified by ORBi |
 | RAUSCHENBERGER, A., NAZAROV, P.* , & GLAAB, E.*. (2025). Estimating sparse regression models in multi-task learning and transfer learning through adaptive penalisation. Bioinformatics, 10.1093/bioinformatics/btaf406. doi:10.1093/bioinformatics/btaf406 Peer Reviewed verified by ORBi* These authors have contributed equally to this work. |
 | Lorenz, S. M., Wahida, A., Bostock, M. J., Seibt, T., Santos Dias Mourão, A., Levkina, A., Trümbach, D., Soudy, M., Emler, D., Rothammer, N., Woo, M. S., Sonner, J. K., Novikova, M., Henkelmann, B., Aldrovandi, M., Kaemena, D., Vermonden, P., Mishima, E., Nakamura, T., ... Conrad, M. (2025). A fin loop-like structure in GPX4 affords neuroprotection. Cell, in press (in press). Peer Reviewed verified by ORBi |
 | Svinin, G., & GLAAB, E. (2025). Causal Network Analysis of Omics Data Using Prior Knowledge Databases. Briefings in Bioinformatics. Peer Reviewed verified by ORBi |
  | Le Bars, S., Soudy, M., Nickels, S. L., Schwamborn, J. C., & GLAAB, E. (2025). Single-cell analysis reveals shared and distinct molecular signatures in brain organoid models of neurodegeneration and neuroinflammation. Alzheimer's Research and Therapy, in press. Peer Reviewed verified by ORBi |
 | ZAGARE, A., HEMEDAN, A., ALMEIDA, C., Frangenberg, D., Gomez-Giro, G., ANTONY, P., HALDER, R., Krüger, R., GLAAB, E., OSTASZEWSKI, M., ARENA, G., & SCHWAMBORN, J. C. (2024). Insulin Resistance Is a Modifying Factor for Parkinson's Disease. Movement Disorders. doi:10.1002/mds.30039 Peer Reviewed verified by ORBi |
 | LOO, R. T. J., SOUDY, M., NASTA, F., MACCHI, M., & GLAAB, E. (23 September 2024). Bioinformatics approaches for studying molecular sex differences in complex diseases. Briefings in Bioinformatics, 25 (6). doi:10.1093/bib/bbae499 Peer Reviewed verified by ORBi |
 | LE BARS, S., & GLAAB, E. (2024). Single-Cell Cortical Transcriptomics Reveals Common and Distinct Changes in Cell-Cell Communication in Alzheimer's and Parkinson's Disease. Molecular Neurobiology. doi:10.1007/s12035-024-04419-7 Peer Reviewed verified by ORBi |
 | ARENA, G., LANDOULSI, Z., GROSSMANN, D., Payne, T., VITALI, A., DELCAMBRE, S., BARON, A., ANTONY, P., BOUSSAAD, I., BOBBILI, D. R., Sreelatha, A. A. K., PAVELKA, L., J Diederich, N., Klein, C., Seibler, P., GLAAB, E., Foltynie, T., Bandmann, O., Sharma, M., ... COURAGE‐PD Consortium. (2024). Polygenic Risk Scores Validated in Patient-Derived Cells Stratify for Mitochondrial Subtypes of Parkinson's Disease. Annals of Neurology. doi:10.1002/ana.26949 Peer Reviewed verified by ORBi |
 | Mohamed, S., Sophie Le Bars, & GLAAB, E. (2024). Sex-Dependent Molecular Landscape of Alzheimer's Disease Revealed by Large-Scale Single-Cell Transcriptomics. Alzheimer's and Dementia: the Journal of the Alzheimer's Association. doi:10.1002/alz.14476 Peer Reviewed verified by ORBi |
Bontridder, N., Hähnel, T., Marín Valero, M., Carrasco Marín, L., Corvol, J., A. El-Yacoubi, M., M. Eskofier, B., Filali Razzouki, A., Funck Hansen, A., GLAAB, E., A. Ibrahim, A., Jeancolas, L., KLUCKEN, J., Lage-Rupprecht, V., Le Bars, S., Lehericy, S., Mangone, G., PACCOUD, I., Petrovska-Delacretaz, D., ... Fröhlich, H. (2024). Personalised Medicine ∙ Leveraging the Potential of Digital Technology for Personalised Medicine. Journal of AI Law and Regulation, 1 (2), 249-253. doi:10.21552/aire/2024/2/12 Editorial Reviewed verified by ORBi |
 | GLAAB, E. (2024). Sex differences in omics data for neurodegenerative diseases [Paper presentation]. SaarLux Collaboration Meeting, Luxembourg. |
 | Pavelka, L., Rauschenberger, A., Hemedan, A., Ostaszewski, M., GLAAB, E., & Krüger, R. (2024). Converging peripheral blood miRNA profiles in Parkinson's disease and progressive supranuclear palsy. Brain Communications, in press (in press). doi:10.1093/braincomms/fcae187 Peer Reviewed verified by ORBi |
 | Kaya, P., Schaffner-Reckinger, E., Manoharan, G. B., Vukic, V., Kiriazis, A., Ledda, M., Burgos, M., Pavic, K., Gaigneaux, A., GLAAB, E., & Abankwa, D. K. (2024). An improved PDE6D inhibitor combines with Sildenafil to inhibit KRAS-mutant cancer cell growth. Journal of Medicinal Chemistry, in press (in press). doi:10.1021/acs.jmedchem.3c02129 Peer Reviewed verified by ORBi |
 | KLEE, M., AHO, V., MAY, P., Heintz-Buschart, A., LANDOULSI, Z., JONSDOTTIR, S., PAULY, C., PAVELKA, L., DELACOUR, L., KAYSEN, A., Krüger, R., WILMES, P., LEIST, A., Acharya, G., Aguayo, G., Alexandre, M., ALI, M., Ammerlann, W., ARENA, G., ... ZELIMKHANOV, G. (2024). Education as Risk Factor of Mild Cognitive Impairment: The Link to the Gut Microbiome. Journal of Prevention of Alzheimer's Disease. doi:10.14283/jpad.2024.19 Peer Reviewed verified by ORBi |
 | Brzenczek, C., Klopfenstein, Q., Hähnel, T., Fröhlich, H., & GLAAB, E. (2024). Integrating digital gait sensor data with metabolomics and clinical data to predict clinically relevant outcomes in Parkinson's disease. npj Digital Medicine, 7 (235). Peer Reviewed verified by ORBi |
 | Loo, R. T. J., Tsurkalenko, O., Klucken, J., Mangone, G., Khoury, F., Vidailhet, M., Corvol, J.-C., Krüger, R., & GLAAB, E. (2024). Levodopa-induced dyskinesia in Parkinson's disease: Insights from cross-cohort prognostic analysis using machine learning. Parkinsonism and Related Disorders, 126 (107054). doi:10.1016/j.parkreldis.2024.107054 Peer Reviewed verified by ORBi |
 | GLAAB, E. (2024). Blood metabolomics profiling of Parkinson’s disease reveals coordinated pathway alterations [Paper presentation]. Metabolon - Metabolomics Webinars. |
 | GLAAB, E. (2024). Integrating gait sensor data with other multimodal datasets to predict PD outcomes [Paper presentation]. Symposium „Validating DIGItal biomarkers for better personalized treatment of Parkinson's Disease“, Bonn, Germany. |
 | Ali, M., Garcia, P., Lunkes, L. P., Sciortino, A., Thomas, M., Heurtaux, T., Grzyb, K., Halder, R., Coowar, D., Skupin, A., Buée, L., Blum, D., Buttini, M., & GLAAB, E. (2024). Single cell transcriptome analysis of the THY-Tau22 mouse model of Alzheimer's disease reveals sex-dependent dysregulations. Cell Death Discovery, 10 (119), 10.1038/s41420-024-01885-9. doi:10.1038/s41420-024-01885-9 Peer Reviewed verified by ORBi |
 | Gómez de Lope, E., Loo, R. T. J., Rauschenberger, A., Ali, M., Pavelka, L., Marques, T. M., Gomes, C. P. C., Krüger, R., & GLAAB, E. (2024). Comprehensive blood metabolomics profiling of Parkinson's disease reveals coordinated alterations in xanthine metabolism. NPJ Parkinson's Disease, in press (in press). Peer Reviewed verified by ORBi |
 | GLAAB, E. (2024). Integrative machine learning analysis of digital biomarkers, clinical, and omics data for Parkinson's disease [Paper presentation]. DIGIPD General Assembly Meeting, Luxembourg. |
 | Hähnel, T., Raschka, T., Sapienza, S., Klucken, J., GLAAB, E., Corvol, J.-C., Falkenburger, B., & Fröhlich, H. (2024). Progression subtypes in Parkinson's disease identified by a data driven multi cohort analysis. NPJ Parkinson's Disease, in press (in press). doi:10.1038/s41531-024-00712-3 Peer Reviewed verified by ORBi |
 | Tom, H., Raschka, T., Klucken, J., GLAAB, E., Corvol, J.-C., Falkenburger, B., & Fröhlich, H. (2024). The Impact of Non-Motor Symptoms on Diagnostic Delay in Parkinson’s Disease [Poster presentation]. 97. Kongress der Deutschen Gesellschaft für Neurologie (DGN-Kongress 2024). Peer reviewed |
 | PAVELKA, L., RAWAL, R., GHOSH, S., PAULY, C., PAULY, L., HANFF, A.-M., KOLBER, P. L., JONSDOTTIR, S., MCINTYRE, D., AZAIZ, K., THIRY, E., Vilasboas, L., SOBOLEVA, E., GIRAITIS, M., TSURKALENKO, O., SAPIENZA, S., DIEDERICH, N., KLUCKEN, J., GLAAB, E., ... NCER-PD Consortium. (19 December 2023). Luxembourg Parkinson’s study -comprehensive baseline analysis of Parkinson’s disease and atypical parkinsonism. Frontiers in Neurology, 14. doi:10.3389/fneur.2023.1330321 Peer Reviewed verified by ORBi |
 | Rosety, I., Zagare, A., Saraiva, C., Nickels, S., Antony, P., Almeida, C., GLAAB, E., Halder, R., Velychko, S., Rauen, T., Schöler, H. R., Bolognin, S., Sauter, T., Jarazo, J., Krüger, R., & Schwamborn, J. C. (18 December 2023). Impaired neuron differentiation in GBA-associated Parkinson's disease is linked to cell cycle defects in organoids. NPJ Parkinson's Disease, 9 (1), 166. doi:10.1038/s41531-023-00616-8 Peer Reviewed verified by ORBi |
 | GLAAB, E. (23 November 2023). Linking digital markers to molecular markers in Parkinson‘s disease [Paper presentation]. DIGIPD General Assembly, Paris, France. |
 | ZAGARE, A., Preciat, G., NICKELS, S. L., Luo, X., MONZEL, A. S., Gomez-Giro, G., ROBERTSON, G., Jaeger, C., Sharif, J., Koseki, H., DIEDERICH, N., GLAAB, E., FLEMING, R. M., & SCHWAMBORN, J. C. (20 November 2023). Omics data integration suggests a potential idiopathic Parkinson's disease signature. Communications Biology, 6 (1), 1179. doi:10.1038/s42003-023-05548-w Peer Reviewed verified by ORBi |
 | RAUSCHENBERGER, A., LANDOULSI, Z., van de Wiel, M. A.* , & GLAAB, E.*. (10 November 2023). Penalized regression with multiple sources of prior effects. Bioinformatics, 39 (12), 680. doi:10.1093/bioinformatics/btad680 Peer Reviewed verified by ORBi* These authors have contributed equally to this work. |
 | Schimunek, J., Seidl, P., Elez, K., Hempel, T., Le, T., Noé, F., Olsson, S., Raich, L., Winter, R., Gokcan, H., Gusev, F., Gutkin, E. M., Isayev, O., Kurnikova, M. G., Narangoda, C. H., Zubatyuk, R., Bosko, I. P., Furs, K. V., Karpenko, A. D., ... Hermans, T. M. (2023). A community effort in SARS-CoV-2 drug discovery. Molecular Informatics. doi:10.1002/minf.202300262 Peer Reviewed verified by ORBi |
 | MULICA, P., Venegas, C., LANDOULSI, Z., BADANJAK, K., DELCAMBRE, S., TZIORTZIOU, M., HEZZAZ, S., Ghelfi, J., SMAJIC, S., SCHWAMBORN, J. C., Krüger, R., ANTONY, P., MAY, P., GLAAB, E., GRÜNEWALD, A.* , & Pereira, S. L.*. (20 September 2023). Comparison of two protocols for the generation of iPSC-derived human astrocytes. Biological Procedures Online, 25 (1), 26. doi:10.1186/s12575-023-00218-x Peer Reviewed verified by ORBi* These authors have contributed equally to this work. |
 | KAYA, P., SCHAFFNER-RECKINGER, E., MANOHARAN, G. B., Vukic, V., Kiriazis, A., LEDDA, M., Burgos, M., PAVIC, K., GAIGNEAUX, A., GLAAB, E., & ABANKWA, D. (2023). An improved PDE6D inhibitor combines with Sildenafil to synergistically inhibit KRAS mutant cancer cell growth. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/58308. doi:10.1101/2023.08.23.554263 |
 | RAUSCHENBERGER, A., & GLAAB, E. (2023). Predicting Dichotomised Outcomes from High-Dimensional Data in Biomedicine. Journal of Applied Statistics. doi:10.1080/02664763.2023.2233057 Peer Reviewed verified by ORBi |
 | Nikos, V., & GLAAB, E. (25 July 2023). Omics network analysis using mathematical programming [Paper presentation]. 2023 International Conference on Intelligent Systems for Molecular Biology, Lyon, France. |
 | Gómez de Lope, E., Viñas Torné, R., Liò, P., & GLAAB, E. (25 July 2023). Graph neural networks for investigating complex diseases: A case study on Parkinson's Disease [Poster presentation]. 31st Annual Intelligent Systems For Molecular Biology and the 22nd Annual European Conference on Computational Biology, Lyon, France. |
 | Grütz, K., Seibler, P., GLAAB, E., Weißbach, A., Diaw, S.-A., Carlisle, F., Blake, D., Klein, C., Lohmann, K., & Grünewald, A. (01 June 2023). Investigating the molecular and cellular basis of ε-sarcoglycan-associated myoclonus-dystonia in an iPSC-derived neuronal model [Paper presentation]. Samuel Belzberg 6th International Dystonia Symposium (IDS6), Dublin, Ireland. Peer reviewed |
 | ARENA, G., LANDOULSI, Z., Grossmann, D., Vitali, A., DELCAMBRE, S., BARON, A., ANTONY, P., BOUSSAAD, I., BOBBILI, D. R., Sreelatha, A. A. K., PAVELKA, L., Klein, C., Seibler, P., GLAAB, E., Sharma, M., KRÜGER, R., MAY, P., & GRÜNEWALD, A. (2023). Polygenic risk scores validated in patient-derived cells stratify for mitochondrial subtypes of Parkinson\textquoterights disease 2023.05.12.23289877. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/55367. doi:10.1101/2023.05.12.23289877 |
ALI, M.* , GARCIA, P.* , Laetitia P. Lunkes, SCIORTINO, A., THOMAS, M., HEURTAUX, T., GRZYB, K., HALDER, R., SKUPIN, A., MITTELBRONN, M., BUTTINI, M., & GLAAB, E. (12 May 2023). Gene Regulatory Network Analysis of Single-Cell Transcriptomes from THY-Tau22 Mice Reveals Sex-Dependent Immune Dysregulation associated with Alzheimer-like pathology [Poster presentation]. The 7th Venusberg Meeting on Neuroinflammation, Belval, Luxembourg. * These authors have contributed equally to this work. |
 | Roomp, K., GLAAB, E., & Schneider, J. (11 May 2023). Sex-specific Transcriptomic, Proteomic Differences across Multiple Alzheimer's Disease Cohorts [Poster presentation]. 7th Venusberg Meeting on Neuroinflammation, Esch-sur-Alzette, Luxembourg. Peer reviewed |
 | GOMEZ DE LOPE, E., & GLAAB, E. (11 May 2023). Pathway-based machine learning analysis of Parkinson’s disease transcriptomics data reveals coordinated alterations in inflammatory pathways [Poster presentation]. 7th Venusberg Meeting on Neuroinflammation, Luxembourg. Peer reviewed |
 | Pauly, C., GLAAB, E., Hansen, M., Martin-Gallausiaux, C., Ledda, M., Marques, T., Wilmes, P., Krüger, R., & Diederich, N. (26 January 2023). MORE SMOKE THAN FIRE NO SPEEDING UP OF PARKINSON‘S DISEASE AFTER COVID-10 LOCKDOWN [Poster presentation]. Precision Medicine in Parkinson’s Disease, Esch-sur-Alzette, Luxembourg. Peer reviewed |
 | Jarazo, J., Santos Da Silva, E., GLAAB, E., Perez, D., & Schwamborn, J. (26 January 2023). SARS-COV-2 INDUCES DOPAMINERGIC NEURON LOSS IN MIDBRAIN ORGANOIDS [Poster presentation]. Precision Medicine in Parkinson’s Disease, Esch-sur-Alzette, Luxembourg. Peer reviewed |
 | Landoulsi, Z., Arena, G., Grossmann, D., Vitali, A., Delcambre, S., Antony, P., Boussaad, I., Reddy Bobbili, D., Pavelka, L., GLAAB, E., Sharma, M., Krüger, R., May, P., & Grünewald, A. (2023). Functional validation of a mitochondria-specific polygenic risk score in patient-based models for stratification of idiopathic Parkinson's disease [Poster presentation]. Precision Medicine in Parkinson’s Disease, Esch-sur-Alzette, Luxembourg. Peer reviewed |
 | Zagare, A., Kurlovics, J., Stalidzans, E., Gomez Giro, G., Antony, P., Jäger, C., GLAAB, E., & Schwamborn, J. (January 2023). ANALYSIS OF INSULIN RESISTANCE AS A RISK FACTOR FOR PARKINSON’S DISEASE [Poster presentation]. Precision Medicine in Parkinson’s Disease, Esch-sur-Alzette, Luxembourg. Peer reviewed |
 | Ohnmacht, J., Bobbili, D., Meyrath, M., Remmers, D., GLAAB, E., Wyman, S., Kaye, J., May, P., Finkbeiner, S., & Krüger, R. (2023). IDENTIFICATION AND FUNCTIONAL CHARACTERIZATION OF VPS41 AS A POTENTIAL GENETIC MODIFIER OF PENETRANCE IN P.G2019S LRRK2-ASSOCIATED PARKINSON’S DISEASE [Poster presentation]. Precision Medicine in Parkinson’s Disease, Esch-sur-Alzette, Luxembourg. Peer reviewed |
 | Pavelka, L., Rauschenberger, A., GLAAB, E., & Krüger, R. (2023). Converging peripheral blood micro-RNA profiles in idiopathic Parkinson’s disease and progressive supranuclear palsy [Poster presentation]. 18th International meeting of the GEoPD consortium, Antwerp, Belgium. Peer reviewed |
 | Loo Ting Jiin, R., & GLAAB, E. (2023). Cross-cohort prognosis of levodopa-induced dyskinesia in Parkinson’s disease [Poster presentation]. Basel Computational Biology Conference, Basel, Switzerland. Peer reviewed |
 | Rawal, R., Shoaib, M., Pavelka, L., Ghosh, S., Landoulsi, Z., Pachchek, S., Rauschenberger, A., Jubal, E., Vaillant, M., Aguayo, G., Roomp, K., Gomes, C., Marques, T., Claire, P., Laure, P., McIntyre, D., Terwindt, O., Sandt, E., Hanff, A., ... Krüger, R. (2023). DATA-DRIVEN SUBTYPES OF PARKINSON’S DISEASE USING MACHINE LEARNING IN LUXEMBOURG PARKINSON STUDY [Poster presentation]. Precision Medicine in Parkinson’s Disease, Esch-sur-Alzette, Luxembourg. Peer reviewed |
 | Khachatryan, L., Xiang, Y., Ivanov, A., GLAAB, E., Graham, G., Granata, I., Giordano, M., Maddalena, L., Piccirillo, M., Manipur, I., Baruzzo, G., Cappellato, M., Avot, B., Stan, A., Battey, J., Lo Sasso, G., Boue, S., Ivanov, N. V., Peitsch, M. C., ... Poussin, C. (2023). Results and Lessons Learned from the sbv IMPROVER Metagenomics Diagnostics for Inflammatory Bowel Disease Challenge. Scientific Reports, in press. doi:10.1038/s41598-023-33050-0 Peer reviewed |
 | TRANCHEVENT, L.-C., HALDER, R., & GLAAB, E. (2023). Systems level analysis of sex-dependent gene expression changes in Parkinson’s disease. NPJ Parkinson's Disease, 9 (8). doi:10.1038/s41531-023-00446-8 Peer Reviewed verified by ORBi |
 | GLAAB, E. (2023). AI for patient stratification: Challenges and recommendations [Paper presentation]. EU-Africa PerMed Summer School, South Africa. |
 | GOMEZ DE LOPE, E., & GLAAB, E. (2023). Unravelling Inflammatory Pathways in Parkinson's Disease: Insights from Pathway-Based Machine Learning Analysis of Transcriptomics Data [Paper presentation]. RIKEN-Tsinghua International Summer Program (RISP), Tokyo, Japan. |
 | Vlassis, N., & GLAAB, E. (2023). Network perturbation analysis of omics data for complex diseases using convex optimization [Poster presentation]. 31st Annual Intelligent Systems For Molecular Biology and the 22nd Annual European Conference on Computational Biology (ISMB/ECCB 2023), Lyon, France. |
 | Bergquist, T., Schaffter, T., Yan, Y., Yu, T., Prosser, J., Gao, J., Chen, G., Charzewski, Ł., Nawalany, Z., Brugere, I., Retkute, R., Prusokas, A., Prusokas, A., Choi, Y., Lee, S., Choe, J., Lee, I., Kim, S., Kang, J., ... Charzewski, Ł. (2023). Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine. Journal of the American Medical Informatics Association. doi:10.1093/jamia/ocad159 Peer Reviewed verified by ORBi |
 | Sieberts, S. K., Borzymowski, H., Guan, Y., Huang, Y., Matzner, A., Page, A., Bar-Gad, I., Beaulieu-Jones, B., El-Hanani, Y., Goschenhofer, J., Javidnia, M., Keller, M. S., Li, Y.-C., Saqib, M., Smith, G., Stanescu, A., Venuto, C. S., Zielinski, R., GLAAB, E., ... BEAT-PD, D. C. C. (Other coll.). (2023). Developing better digital health measures of Parkinson's disease using free living data and a crowdsourced data analysis challenge. PLOS digital health, 2 (3), 0000208. doi:10.1371/journal.pdig.0000208 Peer Reviewed verified by ORBi |
 | Gómez de Lope, E., & GLAAB, E. (18 September 2022). Machine learning applied to higher order functional representations of omics data reveals biological pathways associated with Parkinson‘s Disease [Poster presentation]. European Conference on Computational Biology - European Student Council Symposium, Sitges, Barcelona, Spain. Peer reviewed |
 | GARCIA, P., Wemheuer, W., Uriarte, O., MICHELUCCI, A., Masuch, A., Brioschi, S., Weihofen, A., KONCINA, E., COOWAR, D., HEURTAUX, T., GLAAB, E., BALLING, R., Sousa, C., Kaoma, T., Nicot, N., Pfander, T., Schulz-Schaeffer, W., Allouche, A., Fischer, N., ... BUTTINI, M. (2022). Neurodegeneration and neuroinflammation are linked, but independent of a-synuclein inclusions, in a seeding/spreading mouse model of Parkinson's disease. Glia. doi:10.1002/glia.24149 Peer Reviewed verified by ORBi |
 | Fröhlich, H., Bontridder, N., Petrovska-Delacréta, D., GLAAB, E., Kluge, F., Yacoubi, M. E., Marín Valero, M., Corvol, J.-C., Eskofier, B., Van Gyseghem, J.-M., Lehericy, S., Winkler, J., & Klucken, J. (2022). Leveraging the Potential of Digital Technology for Better Individualized Treatment of Parkinson's Disease. Frontiers in Neurology, 13, 788427. doi:10.3389/fneur.2022.788427 Peer Reviewed verified by ORBi |
 | Diaz-Uriarte, R., Gómez de Lope, E., Giugno, R., Fröhlich, H., NAZAROV, P., Nepomuceno-Chamorro, I. A., RAUSCHENBERGER, A., & GLAAB, E. (2022). Ten Quick Tips for Biomarker Discovery and Validation Analyses Using Machine Learning. PLoS Computational Biology, 18 (8), 1010357. doi:10.1371/journal.pcbi.1010357 Peer Reviewed verified by ORBi |
 | ALI, M., Huarte, O., HEURTAUX, T., GARCIA, P., Rodriguez, B. P., GRZYB, K., HALDER, R., SKUPIN, A., BUTTINI, M., & GLAAB, E. (2022). Single-cell transcriptional profiling and gene regulatory network modeling in Tg2576 mice reveal gender-dependent molecular features preceding Alzheimer-like pathologies. Molecular Neurobiology, in press (doi:10.1007/s12035-022-02985-2) (in press). doi:10.1007/s12035-022-02985-2 Peer Reviewed verified by ORBi |
 | Trezzi, J.-P., AHO, V., Jäger, C., Schade, S., Janzen, A., HICKL, O., Kunath, B., THOMAS, M., SCHMIT, K., GARCIA, P., SCIORTINO, A., Martin-Gallausiaux, C., HALDER, R., Huarte, O. U., HEURTAUX, T., Heins-Marroquin, U., Gomez-Giro, G., Weidenbach, K., DELACOUR, L., ... WILMES, P. (2022). An archaeal compound as a driver of Parkinson’s disease pathogenesis. (1). ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/51987. doi:10.21203/rs.3.rs-1827631/v1 |
 | PAULY, C., GLAAB, E., HANSEN, M., Martin-Gallausiaux, C., Ledda, M., MARQUES, T., WILMES, P., KRÜGER, R., & Consortium, N.-P. (2022). Parkinson's Disease progression, resilience and inflammation markers during the COVID-19 pandemic. Movement Disorders, in press (doi: 10.1002/mds.29212) (in press). doi:10.1002/mds.29212 Peer Reviewed verified by ORBi |
 | Pavelka, L., RAUSCHENBERGER, A., LANDOULSI, Z., PACHCHEK, S., MAY, P., GLAAB, E., NCER-PD, C., & KRÜGER, R. (Other coll.). (2022). Age at onset as stratifier in idiopathic Parkinson's disease - effect of ageing and polygenic risk score on clinical phenotypes. NPJ Parkinson's Disease, 9 (8), 102. doi:10.1038/s41531-022-00342-7 Peer Reviewed verified by ORBi |
 | Pavelka, L., RAUSCHENBERGER, A., LANDOULSI, Z., PACHCHEK, S., MARQUES, T., GOMES, C., GLAAB, E., MAY, P., KRÜGER, R., & NCER-PD, C. (2022). Body-First Subtype of Parkinson's Disease with Probable REM-Sleep Behavior Disorder Is Associated with Non-Motor Dominant Phenotype. Journal of Parkinson's Disease. doi:10.3233/JPD-223511 Peer Reviewed verified by ORBi |
 | Balta, M. G., Schreurs, O., Hansen, T. V., Tungen, J. E., Vik, A., GLAAB, E., Küntziger, T. M., Schenck, K., Baekkevold, E. S., & Blix, I. J. S. (2022). Expression and function of resolvin RvD1(n-3 DPA) receptors in oral epithelial cells. European Journal of Oral Sciences, 130 (4), 12883. doi:10.1111/eos.12883 Peer Reviewed verified by ORBi |
 | Balta, M. G., Schreurs, O., HALDER, R., Küntziger, T. M., Saetre, F., Blix, I. J. S., Baekkevold, E. S., GLAAB, E., & Schenck, K. (2022). RvD1(n-3 DPA) Downregulates the Transcription of Pro-Inflammatory Genes in Oral Epithelial Cells and Reverses Nuclear Translocation of Transcription Factor p65 after TNF-α Stimulation. International Journal of Molecular Sciences, 23 (23). doi:10.3390/ijms232314878 Peer Reviewed verified by ORBi |
 | GLAAB, E., MANOHARAN, G. B., & ABANKWA, D. (23 August 2021). A Pharmacophore Model for SARS-CoV-2 3CLpro Small Molecule Inhibitors and in Vitro Experimental Validation of Computationally Screened Inhibitors. Journal of Chemical Information and Modeling, 61 (8), 4082-4096. doi:10.1021/acs.jcim.1c00258 Peer Reviewed verified by ORBi |
 | RAUSCHENBERGER, A., & GLAAB, E. (06 August 2021). Predicting correlated outcomes from molecular data. Bioinformatics, 37 (21), 3889–3895. doi:10.1093/bioinformatics/btab576 Peer Reviewed verified by ORBi |
 | GLAAB, E. (13 January 2021). Artificial intelligence in personalized medicine [Paper presentation]. Symposium on Artificial Intelligence in Personaized Medicine, Amsterdam, Netherlands. |
 | Priesemann, V., BALLING, R., Bauer, S., Beutels, P., Valdez, A. C., Cuschieri, S., Czypionka, T., Dumpis, U., GLAAB, E., Grill, E., Hotulainen, P., Iftekhar, E. N., Krutzinna, J., Lionis, C., Machado, H., Martins, C., McKee, M., Pavlakis, G. N., Perc, M., ... Willeit, P. (2021). The benefits of low COVID-19 incidence in Europe. The Lancet, 398 (10303), 838-839. doi:10.1016/S0140-6736(21)01808-0 Peer reviewed |
 | Iftekhar, E. N., Priesemann, V., BALLING, R., Bauer, S., Beutels, P., Valdez, A. C., Cuschieri, S., Czypionka, T., Dumpis, U., GLAAB, E., Grill, E., Hanson, C., Hotulainen, P., Klimek, P., Kretzschmar, M., Krüger, T., Krutzinna, J., Low, N., Machado, H., ... Willeit, P. (2021). A look into the future of the COVID-19 pandemic in Europe: an expert consultation. The Lancet Regional Health. Europe, 8 (100185). doi:10.1016/j.lanepe.2021.100185 Peer reviewed |
 | Giovagnoni, C., Ali, M., Eijssen, L. M. T., Maes, R., Choe, K., Mulder, M., Kleinjans, J., del Sol, A., GLAAB, E., Mastroeni, D., Delvaux, E., Coleman, P., Losen, M., Pishva, E., Martinez, P. M., & van den Hove, D. L. A. (2021). Altered sphingolipid function in Alzheimer's disease; a gene regulatory network approach. Neurobiology of Aging, in press (in press). doi:10.1016/j.neurobiolaging.2021.02.001 Peer Reviewed verified by ORBi |
 | Imm, J., Pishva, E., Ali, M., Kerrigan, T. L., Jeffries, A., Burrage, J., GLAAB, E., Allen, N., & Lunnon, K. (2021). Characterization of DNA Methylomic signatures in induced pluripotent stem cells during neuronal differentiation. Frontiers in Cell and Developmental Biology. doi:10.3389/fcell.2021.647981 Peer Reviewed verified by ORBi |
 | BADANJAK, K., MULICA, P., SMAJIC, S., DELCAMBRE, S., TRANCHEVENT, L.-C., Diederich, N., Rauen, T., SCHWAMBORN, J. C., GLAAB, E., Cowley, S. A., ANTONY, P., Pereira, S. L., Venegas, C., & GRÜNEWALD, A. (2021). iPSC-Derived Microglia as a Model to Study Inflammation in Idiopathic Parkinson's Disease. Frontiers in Cell and Developmental Biology, 9, 740758. doi:10.3389/fcell.2021.740758 Peer Reviewed verified by ORBi |
 | OSTASZEWSKI, M., Niarakis, A., MAZEIN, A., Kuperstein, I., Phair, R., Orta-Resendiz, A., Singh, V., Aghamiri, S. S., ACENCIO, M. L., GLAAB, E., Ruepp, A., Fobo, G., Montrone, C., Brauner, B., Frishman, G., Monraz Gómez, L. C., Somers, J., Hoch, M., Kumar Gupta, S., ... SCHNEIDER, R. (2021). COVID19 Disease Map, a computational knowledge repository of virus-host interaction mechanisms. Molecular Systems Biology, 17 (10), 10387. doi:10.15252/msb.202110387 Peer Reviewed verified by ORBi |
 | Czypionka, T., Iftekhar, E., Prainsack, B., Priesemann, V., Bauer, S., Valdez, A. C., Cuschieri, S., GLAAB, E., Grill, E., Krutzinna, J., Lionis, C., Machado, H., Martins, C., Pavlakis, G., Perc, M., Petelos, E., Pickersgill, M., SKUPIN, A., Schernhammer, E., ... WILMES, P. (2021). The benefits, costs and feasibility of a low incidence COVID-19 strategy. The Lancet Regional Health. Europe, 12 (100193). doi:10.1016/j.lanepe.2021.100294 Peer reviewed |
 | GLAAB, E., RAUSCHENBERGER, A., Banzi, R., Gerardi, C., Garcia, P., Demotes, J., & PERMIT group. (2021). Biomarker discovery studies for patient stratification using machine learning analysis of omics data: a scoping review. BMJ Open, 11 (12), 053674. doi:10.1136/bmjopen-2021-053674 Peer reviewed |
 | Ganzinger, M., GLAAB, E., Kerssemakers, J., Nahnsen, S., Sax, U., Schaadt, N. S., Schapranow, M.-P., & Tiede, T. (2021). Biomedical and Clinical Research Data Management. In O. Wolkenhauer, Systems Medicine - Integrative, Qualitative and Computational Approaches (pp. 532-543). Elsevier. doi:10.1016/B978-0-12-801238-3.11621-6 Peer reviewed |
 | Sieberts, S., Schaff, J., Duda, M., Pataki, B., Sun, M., Snyder, P., Daneault, J., Parisi, F., Costante, G., Rubin, U., Banda, P., Chae, Y., Neto, E., Dorsey, E., Aydin, Z., Chen, A., Elo, L., Espino, C., GLAAB, E., ... Omberg, L. (2021). Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. npj Digital Medicine, 4 (53). doi:10.1038/s41746-021-00414-7 Peer Reviewed verified by ORBi |
 | GLAAB, E. (02 December 2020). Scoping review on machine learning methods for stratification [Paper presentation]. Personalized Medicine Trials (PERMIT) Workshop. |
 | Acharya, S., Salgado-Somoza, A., Stefanizzi, F. M., Lumley, A. I., Zhang, L., GLAAB, E., MAY, P., & Devaux, Y. (06 September 2020). Non-Coding RNAs in the Brain-Heart Axis: The Case of Parkinson’s Disease. International Journal of Molecular Sciences, 21 (18), 6513. doi:10.3390/ijms21186513 Peer Reviewed verified by ORBi |
 | Hartl, D.* , MAY, P.* , GU, W.* , Mayhaus, M., Pichler, S., Spaniol, C., GLAAB, E., BOBBILI, D. R., ANTONY, P., Köglsberger, S., Kurz, A., Grimmer, T., Morgan, K., Vardarajan, B. N., Reitz, C., Hardy, J., Bras, J., Guerreiro, R., AESG, ... Riemenschneider, M. (09 July 2020). A rare loss-of function variant of ADAM17 is associated with late-onset familial Alzheimer disease. Molecular Psychiatry, 25 (3), 629-639. doi:10.1038/s41380-018-0091-8 Peer Reviewed verified by ORBi* These authors have contributed equally to this work. |
 | RAUSCHENBERGER, A., GLAAB, E.* , & van de Wiel, M.*. (21 May 2020). Predictive and interpretable models via the stacked elastic net. Bioinformatics, 37 (14), 2012–2016. doi:10.1093/bioinformatics/btaa535 Peer Reviewed verified by ORBi* These authors have contributed equally to this work. |
 | BOUSSAAD, I., Obermaier, C. D., Hanss, Z., Bobbili, D. R., BOLOGNIN, S., GLAAB, E., Wołyńska, K., Weisschuh, N., De Conti, L., May, C., Giesert, F., Grossmann, D., Lambert, A., Kirchen, S., BIRYUKOV, M., Burbulla, L. F., Massart, F., Bohler, J., Cruciani, G., ... KRÜGER, R. (2020). A patient-based model of RNA mis-splicing uncovers treatment targets in Parkinson's disease. Science Translational Medicine, 12 (560). doi:10.1126/scitranslmed.aau3960 Peer Reviewed verified by ORBi |
 | DeBenedictis, M., Gindzin, Y., GLAAB, E., & Anand-Apte, B. (2020). A novel TIMP3 mutation associated with a retinitis pigmentosa-like phenotype. Ophthalmic Genetics, 41 (5), 480-484. doi:10.1080/13816810.2020.1795889 Peer Reviewed verified by ORBi |
 | Hendrickx, D. M., & GLAAB, E. (2020). Comparative transcriptome analysis of Parkinson’s disease and Hutchinson-Gilford progeria syndrome reveals shared susceptible cellular network processes. BMC Medical Genomics, 13 (114). doi:10.1186/s12920-020-00761-6 Peer Reviewed verified by ORBi |
 | Greuel, A., TREZZI, J.-P., GLAAB, E., Ruppert, M. C., Maier, F., Jäger, C., Hodak, Z., Lohmann, K., Yilong, M., Eidelberg, D., Timmermann, L., Hiller, K., Tittgemeyer, M., Drzezga, A., Diederich, N., & Eggers, C. (2020). GBA variants in Parkinson’s disease: clinical, metabolomic and multimodal neuroimaging phenotypes. Movement Disorders, 35 (12), 2201-2210. doi:10.1002/mds.28225 Peer Reviewed verified by ORBi |
 | Tanevski, J., Nguyen, T., Truong, B., Karaiskos, N., Eren, M., Zhang, X., Shu, C., Hu, Y., Pham, H. V. V., Li, X., Le, T., Tarca, A., Bhatti, G., Romero, R., Karathanasis, N., Loher, P., Chen, Y., Ouyang, Z., Mao, D., ... Saez-Rodriguez, J. (2020). Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics. Life Science Alliance, 3 (11), 202000867. doi:10.26508/LSA.202000867 Peer Reviewed verified by ORBi |
 | Hendrickx, D. M., Garcia, P., Ashrafi, A., SCIORTINO, A., SCHMIT, K., Kollmus, H., Nicot, N., Kaoma, T., Vallar, L., Buttini, M., & GLAAB, E. (2020). A new synuclein-transgenic mouse model for early Parkinson's reveals molecular features of preclinical disease. Molecular Neurobiology, 58, 576-602. doi:10.1007/s12035-020-02085-z Peer Reviewed verified by ORBi |
 | BERENGUER, C., Grossmann, D., MASSART, F., ANTONY, P., Burbulla, L., GLAAB, E., Imhoff, S., Trinh, J., Seibler, P., GRÜNEWALD, A., & KRÜGER, R. (2019). Variants in Miro1 cause alterations of ER-mitochondria contact sites in fibroblasts from Parkinson's disease patients. Journal of Clinical Medicine. doi:10.3390/jcm8122226 Peer Reviewed verified by ORBi |
 | GLAAB, E. (01 November 2019). Computational analysis of molecular network perturbations in complex diseases [Paper presentation]. Digital possibilities in research, Oslo, Norway. |
 | GROSSMANN, D., BERENGUER, C., Bellet, M. E., Scheibner, D., Bohler, J., MASSART, F., Rapaport, D., SKUPIN, A., FOUQUIER D'HÉROUËL, A., Sharma, M., GHELFI, J., Rakovic, A., Lichtner, P., ANTONY, P., GLAAB, E., MAY, P., Dimmer, K. S., Fitzgerald, J. C., GRÜNEWALD, A., & KRÜGER, R. (2019). Mutations in RHOT1 disrupt ER-mitochondria contact sites interfering with calcium homeostasis and mitochondrial dynamics in Parkinson's disease. Antioxidants and Redox Signaling. doi:10.1089/ars.2018.7718 Peer reviewed |
 | GLAAB, E., TREZZI, J.-P., Greuel, A., Jäger, C., Hodak, Z., Drzezga, A., Timmermann, L., Tittgemeyer, M., Diederich, N. J., & Eggers, C. (2019). Integrative analysis of blood metabolomics and PET brain neuroimaging data for Parkinson's disease. Neurobiology of Disease, 124 (1), 555-562. doi:10.1016/j.nbd.2019.01.003 Peer Reviewed verified by ORBi |
 | GLAAB, E., ANTONY, P., Köglsberger, S., Forster, J. I., Cordero-Maldonado, M. L., Crawford, A., GARCIA, P., & BUTTINI, M. (2019). Transcriptome profiling data reveals Ubiquitin-Specific Peptidase 9 knockdown effects. Data in Brief, 25 (1), 104130. doi:10.1016/j.dib.2019.104130 Peer Reviewed verified by ORBi |
 | GLAAB, E. (2019). Algorithmic improvement of public cellular pathway and process definitions [Paper presentation]. PD-Strat meeting, Belval, Luxembourg. |
 | Hertel, J., Harms, A. C., Heinken, A., BALDINI, F., Thinnes, C. C., GLAAB, E., Vasco, D., Pietzner, M., Stewart, I. D., Wareham, N. J., Langenberg, C., Trenkwalder, C., KRÜGER, R., Hankemeier, T., Fleming, R. M. T., Mollenhauer, B., & Thiele, I. (2019). Integrated Analyses of Microbiome and Longitudinal Metabolome Data Reveal Microbial-Host Interactions on Sulfur Metabolism in Parkinson’s Disease. Cell Reports, 29 (7), 1767-1777. doi:10.1016/j.celrep.2019.10.035 Peer Reviewed verified by ORBi |
 | Zhang, Z., Jung, P., GROUES, V., MAY, P., LINSTER, C., & GLAAB, E. (2019). BSA4Yeast: Web-based quantitative trait locus linkage analysis and bulk segregant analysis of yeast sequencing data. GigaScience, 8 (6), 060. doi:10.1093/gigascience/giz060 Peer Reviewed verified by ORBi |
 | GLAAB, E. (January 2019). Machine learning analysis of metabolomics and neuro-imaging data for Parkinson’s disease [Paper presentation]. PD-Strat meeting, Tuebingen, Germany. |
 | NICKELS, S., Walter, J., BOLOGNIN, S., GERARD, D., Jäger, C., Qing, X., Tisserand, J., JARAZO, J., Hemmer, K., Harms, A., HALDER, R., Lucarelli, P., Berger, E., ANTONY, P., GLAAB, E., Hankemeier, T., Klein, C., SAUTER, T., SINKKONEN, L., & SCHWAMBORN, J. C. (2019). Impaired serine metabolism complements LRRK2-G2019S pathogenicity in PD patients. Parkinsonism and Related Disorders. doi:10.1016/j.parkreldis.2019.09.018 Peer Reviewed verified by ORBi |
 | BOLOGNIN, S., Fossépré, M., Qing, X., JARAZO, J., Ščančar, J., LUCUMI MORENO, E., NICKELS, S., WASNER, K., OUZREN, N., WALTER, J., GRÜNEWALD, A., GLAAB, E., Salamanca, L., Fleming, R. M. T., ANTONY, P., & SCHWAMBORN, J. C. (2018). 3D Cultures of Parkinson's Disease‐Specific Dopaminergic Neurons for High Content Phenotyping and Drug Testing. Advanced Science. doi:10.1002/advs.201800927 Peer Reviewed verified by ORBi |
 | GLAAB, E., TREZZI, J.-P., Greuel, Jäger, C., HODAK, Z., Timmermann, L., Tittgemeyer, M., Diederich, N. J., & Eggers, C. (08 October 2018). Combining PET imaging and blood metabolomics data to improve machine learning models for Parkinson’s disease diagnosis [Poster presentation]. 2018 International Congress of the International Parkinson and Movement Disorders Society, Esch-sur-Alzette, Luxembourg. |
 | GLAAB, E. (16 July 2018). Integrative analysis of mitochondrial changes in Parkinson’s disease [Paper presentation]. MitoPD Meeting, Tuebingen, Germany. |
 | GLAAB, E. (July 2018). Computational systems biology approaches for Parkinson's disease. Cell and Tissue Research, 373 (1), 91–109. doi:10.1007/s00441-017-2734-5 Peer Reviewed verified by ORBi |
 | GLAAB, E. (28 June 2018). Combined analysis of neuroimaging and metabolomics data for Parkinson’s disease [Paper presentation]. MetimagPD, Cologne, Germany. |
 | Nyffeler, J., Chovancova, P., Dolde, X., Holzer, A.-K., Purvanov, V., Kindinger, I., Kerins, A., Higton, D., Silvester, S., van Vugt-Lussenburg, B. M. A., GLAAB, E., van der Burg, B., Maclennan, R., Legler, D. F., & Leist, M. (March 2018). A structure-activity relationship linking non-planar PCBs to functional deficits of neural crest cells: new roles for connexins. Archives of Toxicology, 92 (3), 1225–1247. doi:10.1007/s00204-017-2125-4 Peer Reviewed verified by ORBi |
 | TREZZI, J.-P., Greuel, A., GLAAB, E., Hodak, Z., Timmermann, L., Jäger, C., Diederich, N., & Eggers, C. (2018). Combining Metabolomics and Neuroimaging in mid-stage Parkinson’s Disease. A Proof of Concept for Cross-Fertilization. Neurology, 90 (15), 3066. Peer Reviewed verified by ORBi |
 | Greuel, A., Trezzi, J.-P., GLAAB, E., Jäger, C., Hodak, Z., Lohmann, K., Klein, C., Timmermann, L., Drzezga, A., Tittgemeyer, M., Diederich, N., & Eggers, C. (2018). FDG-PET and metabolomics in PD-associated GBA variants. Movement Disorders, 33 (2), 599. Peer Reviewed verified by ORBi |
 | Köglsberger, S., CORDERO MALDONADO, M. L., ANTONY, P., FORSTER, J., GARCIA, P., BUTTINI, M., CRAWFORD, A. D., & GLAAB, E. (December 2017). Gender-specific expression of ubiquitin-specific peptidase 9 modulates tau expression and phosphorylation: possible implications for tauopathies. Molecular Neurobiology, 54 (10), 7979–7993. doi:10.1007/s12035-016-0299-z Peer Reviewed verified by ORBi |
 | ASHRAFI, A., GARCIA, P., Kollmus, H., Schughart, K., DEL SOL MESA, A., BUTTINI, M., & GLAAB, E. (October 2017). Absence of regulator of G-protein signaling 4 does not protect against dopamine neuron dysfunction and injury in the mouse 6-hydroxydopamine lesion model of Parkinson's disease. Neurobiology of Aging, 58, 30-33. doi:10.1016/j.neurobiolaging.2017.06.008 Peer Reviewed verified by ORBi |
 | Fitzgerald, J. C., Zimprich, A., Carvajal-Berrio, D. A., Schindler, K. M., Maurer, B., Schulte, C., Bus, C., Hauser, A.-K., Kübler, M., Lewin, R., BOBBILI, D. R., Schwarz, L. M., Vartholomaiou, E., Brockmann, K., Wüst, R., Madlung, J., Nordheim, A., Riess, O., Martins, L. M., ... KRÜGER, R. (24 August 2017). Metformin reverses TRAP1 mutation-associated alterations in mitochondrial function in Parkinson's disease. Brain: a Journal of Neurology, 140 (9), 2444-2459. doi:10.1093/brain/awx202 Peer Reviewed verified by ORBi |
 | Blauwendraat, C., Faghri, F., Pihlstrom, L., Geiger, J. T., Elbaz, A., Lesage, S., MAY, P., Aude, N., Abramzon, Y., Murphy, N. A., Gibbs, J. R., Ryten, M., Ferrari, R., Bras, J., Guerreiro, R., Williams, J., Sims, R., Lubbe, S., Hernandez, D. G., ... Scholz, S. W. (2017). NeuroChip, an updated version of the NeuroX genotyping platform to rapidly screen for variants associated with neurological diseases. Neurobiology of Aging. doi:10.1016/j.neurobiolaging.2017.05.009 Peer Reviewed verified by ORBi |
 | SINGH, C., GLAAB, E., & LINSTER, C. (2017). Molecular Identification of D-Ribulokinase in Budding Yeast and Mammals. Journal of Biological Chemistry, 292 (3), 1005-1028. doi:10.1074/jbc.M116.760744 Peer Reviewed verified by ORBi |
 | GLAAB, E. (2017). Integrative analysis of mitochondrial molecular changes in Parkinson’s disease [Paper presentation]. MitoPD Meeting, Germany. |
 | GLAAB, E. (2017). Quantitative feature extraction for machine learning analysis of resting-state fMRI data [Paper presentation]. MetimagPD Meeting, Esch-sur-Alzette, Luxembourg. |
 | GLAAB, E. (2017). Biomedical Data Science at LCSB [Paper presentation]. Biomedicine Vision Meeting 2017, Luxembourg, Luxembourg. |
 | Hartl, D., MAY, P., GU, W., Mayhaus, M., GLAAB, E., ANTONY, P., BOBBILI, D. R., Köglsberger, S., Pichler, S., Spaniol, C., Kurz, A., BALLING, R., SCHNEIDER, J., & Riemenschneider, M. (2017). IDENTIFICATION OF A RARE GENE VARIANT THAT IS ASSOCIATED WITH FAMILIAL ALZHEIMER DISEASE AND REGULATES APP EXPRESSION. Alzheimer's and Dementia: the Journal of the Alzheimer's Association, 13 (7, Supplement), 648. doi:10.1016/j.jalz.2017.06.758 Peer Reviewed verified by ORBi |
GLAAB, E. (07 October 2016). Analysis of protein druggability in the alpha-synuclein regulatory network [Paper presentation]. 3rd International Parkinson's Disease Symposium. |
 | GREENHALGH, K., FRITZ, J., LETELLIER, E., FRACHET BOUR, A., BAGINSKA, J., SHAH, P., DESAI, M., GLAAB, E., Jäger, C., HAAN, S., & WILMES, P. (June 2016). A study of the molecular mechanisms underlying the response of human colorectal adenomacarcinoma enterocytes to prebiotics and probiotics [Poster presentation]. ISAPP conference. |
 | GLAAB, E. (09 May 2016). Integrating prior biological knowledge into omics data analysis [Paper presentation]. Machine Learning Workshop, Oslo, Norway. |
 | Kleiderman, S., Gutbier, S., Tufekci, K. U., Ortega, F., Sá, J. V., Teixeira, A. P., Brito, C., GLAAB, E., Berninger, B., Alves, P. M., & Leist, M. (2016). Conversion of non-proliferating astrocytes into neurogenic neural stem cells: control by FGF2 and IFN-gamma. Stem Cells, 34 (12), 2861–2874. doi:10.1002/stem.2483 Peer Reviewed verified by ORBi |
 | Kleiderman, S., Sá, J., Teixeira, A., Brito, C., Gutbier, S., Evje, L., Hadera, M., GLAAB, E., Henry, M., Agapios, S., Alves, P., Sonnewald, U., & Leist, M. (2016). Functional and phenotypic differences of pure populations of stem cell-derived astrocytes and neuronal precursor cells. Glia, 64 (5), 695-715. doi:10.1002/glia.22954 Peer Reviewed verified by ORBi |
 | GLAAB, E. (2016). Modelling gender-specific regulation of tau in Alzheimer’s disease [Paper presentation]. Luxembourg Centre for Systems Biomedicine Annual Donor Thank You Event 2016. |
 | SHAH, P., FRITZ, J., GLAAB, E., Desai, M. S., GREENHALGH, K., FRACHET BOUR, A., Niegowska, M., Estes, M., Jäger, C., Seguin-Devaux, C., Zenhausern, F., & WILMES, P. (2016). A microfluidics-based in vitro model of the gastrointestinal human-microbe interface. Nature Communications, 7, 11535. doi:10.1038/ncomms11535 Peer Reviewed verified by ORBi |
 | Casadei, N., Sood, P., Ulrich, T., Kieper, N., Helling, S., May, C., GLAAB, E., Chen, J., Nuber, S., Marcus, K., Rapaport, D., Ott, T., Riess, O., KRÜGER, R., & Fitzgerald, J. (2016). Mitochondrial Defects and Neurodegeneration in Mice Overexpressing Wild Type or G399S Mutant HtrA2. Human Molecular Genetics, 25 (3), 459-71. doi:10.1093/hmg/ddv485 Peer Reviewed verified by ORBi |
 | Maes, Nowak, G., Caso, J., Leza, J. C., Song, C., Kubera, M., Klein, H., Galecki, P., Noto, C., GLAAB, E., BALLING, R., & Berk, M. (2016). Toward Omics-Based, Systems Biomedicine, and Path and Drug Discovery Methodologies for Depression-Inflammation Research. Molecular Neurobiology, 53 (5), 2927-2935. doi:10.1007/s12035-015-9183-5 Peer reviewed |
 | Ashrafi, A., BUTTINI, M., GARCIA, P., DEL SOL MESA, A., & GLAAB, E. (2016). Exploring therapeutic viability of a non-dopaminergic target for Parkinson’s disease. Movement Disorders, 31 (2), 630. Peer Reviewed verified by ORBi |
 | Allen, G., Amoroso, N., Anghel, C., Balagurusamy, V., Bare, C., Beaton, D., Bellotti, R., Bennett, D., Boehme, K., Caberlotto, L., Campbell, F., Chang, Y.-C., Chen, B., Chen, C.-Y., Chien, T.-Y., Clark, T., Das, S., Davatzikos, C., Deng, J., ... Alzheimer's Disease Neuroimaging Initiative. (2016). Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease. Alzheimer's and Dementia: the Journal of the Alzheimer's Association, 12 (6), 645-653. doi:10.1016/j.jalz.2016.02.006 Peer Reviewed verified by ORBi |
 | BIRCK, C., KONCINA, E., HEURTAUX, T., GLAAB, E., MICHELUCCI, A., HEUSCHLING, P., & GRANDBARBE, L. (10 November 2015). Transcriptomic analyses of primary astrocytes under TNFα treatment. Genomics Data, 7, 7-11. doi:10.1016/j.gdata.2015.11.005 Peer Reviewed verified by ORBi |
 | Gabel, S., KONCINA, E., Dorban, G., HEURTAUX, T., BIRCK, C., GLAAB, E., MICHELUCCI, A., HEUSCHLING, P., & Grandbarbe, L. (17 September 2015). Inflammation Promotes a Conversion of Astrocytes into Neural Progenitor Cells via NF-κB Activation. Molecular Neurobiology, 53 (8), 5041-5055. doi:10.1007/s12035-015-9428-3 Peer Reviewed verified by ORBi |
 | GLAAB, E. (2015). Using prior knowledge from cellular pathways and molecular networks for diagnostic specimen classification. Briefings in Bioinformatics, 1-13. doi:10.1093/bib/bbv044 Peer Reviewed verified by ORBi |
 | GLAAB, E. (2015). Building a virtual ligand screening pipeline using free software: a survey. Briefings in Bioinformatics, 1-15. doi:10.1093/bib/bbv037 Peer reviewed |
 | GLAAB, E., & SCHNEIDER, R. (15 June 2015). Shared alterations in the human brain transcriptome during adult aging and in Parkinson's disease [Poster presentation]. EMBO Symposium on Mechanisms of Neurodegeneration 2015, Heidelberg, Germany. |
 | GLAAB, E., & SCHNEIDER, R. (February 2015). Comparative pathway and network analysis of brain transcriptome changes during adult aging and in Parkinson's disease. Neurobiology of Disease, 74, 1-13. doi:10.1016/j.nbd.2014.11.002 Peer Reviewed verified by ORBi |
 | Righetti, K., Vu, J. L., Pelletier, S., Vu, B. L., GLAAB, E., Lalanne, D., Pasha, A., Patel, R. V., Provart, N., Verdier, J., & Leprince, O. (2015). Inference of longevity-related genes from a robust co-expression network of seed maturation identifies new regulators linking seed storability to biotic defense-related pathways. Plant Cell, 27 (10), 2692-2708. doi:10.1105/tpc.15.00632 Peer Reviewed verified by ORBi |
 | GLAAB, E., & SCHNEIDER, R. (2015). RepExplore: Addressing technical replicate variance in proteomics and metabolomics data analysis. Bioinformatics, 31 (13), 2235. doi:10.1093/bioinformatics/btv127 Peer reviewed |
 | Jäger, C.* , GLAAB, E.* , MICHELUCCI, A.* , Binz, T., Köglsberger, S., GARCIA, P., TREZZI, J.-P., GHELFI, J., BALLING, R., & BUTTINI, M. (2015). The Mouse Brain Metabolome: Region-Specific Signatures and Response to Excitotoxic Neuronal Injury. American Journal of Pathology, 185 (6), 1699-1712. doi:10.1016/j.ajpath.2015.02.016 Peer Reviewed verified by ORBi* These authors have contributed equally to this work. |
 | VLASSIS, N., & GLAAB, E. (2015). GenePEN: analysis of network activity alterations in complex diseases via the pairwise elastic net. Statistical Applications in Genetics and Molecular Biology, 14 (2), 221-224. doi:10.1515/sagmb-2014-0045 Peer Reviewed verified by ORBi |
KOLODKIN, A., IGNATENKO, A., Sangar, V., SIMEONIDIS, V., GLAAB, E., PETERS, B., Brady, N., Price, N., & BALLING, R. (October 2014). ROS-management in Parkinson’s disease: Dynamic blue-print domino-based model and design principles study. Dynamic modelling of ROS management and ROS-induced mitophagy [Poster presentation]. GFG Neurogenetics Conference & PD Symposium, Munsbach, Luxembourg. |
 | GLAAB, E. (01 October 2014). Integrated bioinformatics analysis of functional omics and GWAS data for neurodegenerative disorders [Paper presentation]. 45th Annual Conference of the German Society for Genetics. |
KOLODKIN, A., IGNATENKO, A., Sangar, V., GLAAB, E., PETERS, B., Price, N., Brady, N., & BALLING, R. (June 2014). Dynamic modelling of ROS management and ROS-induced mitophagy [Poster presentation]. Gordon workshop on Cell Death Mechanisms, West Dover, United States. |
 | GLAAB, E., & SCHNEIDER, R. (2014). Addressing Technical Replicate Variance in Omics Data Analysis [Poster presentation]. Benelux Bioinformatics Conference 2014. |
 | Fujita, K. A., OSTASZEWSKI, M., Matsuoka, Y., Ghosh, S., GLAAB, E., TREFOIS, C., CRESPO, I., PERUMAL, T. M., JURKOWSKI, W., ANTONY, P., DIEDERICH, N., BUTTINI, M., Kodama, A., SATAGOPAM, V., EIFES, S., DEL SOL MESA, A., SCHNEIDER, R., Kitano, H., & BALLING, R. (2014). Integrating Pathways of Parkinson's Disease in a Molecular Interaction Map. Molecular Neurobiology. doi:10.1007/s12035-013-8489-4 Peer Reviewed verified by ORBi |
HEINTZ, A., MAY, P., LEBRUN, L., Ferrand, J., TREZZI, J.-P., Collignon, S., WAMPACH, L., GLAAB, E., LACZNY, C. C., MARTINS CONDE, P., KAYSEN, A., SCHNEIDER, J., HILLER, K., Hogan, A., WILMES, P., & DE BEAUFORT, C. (October 2013). Meta-omic Analyses of the Microbiome in a Family Study of Diabetes Mellitus [Poster presentation]. 2nd International Systems Biomedicine Symposium, Belval, Luxembourg. |
 | OSTASZEWSKI, M., Fujita, K., Matsuoka, Y., Ghosh, S., GLAAB, E., TREFOIS, C., CRESPO, I., PERUMAL, T. M., JURKOWSKI, W., ANTONY, P., DIEDERICH, N., BUTTINI, M., KOLODKIN, A., Kodama, A., SATAGOPAM, V., BIRYUKOV, M., EIFES, S., DEL SOL MESA, A., SCHNEIDER, R., ... BALLING, R. (09 March 2013). The Parkinson's Disease Map: A Framework for Integration, Curation and Exploration of Disease-related Pathways [Poster presentation]. The 11th International Conference on Alzheimer's & Parkinson's Diseases, Florence, Italy. |
 | Ballereau, S., GLAAB, E., KOLODKIN, A., Chaiboonchoe, A., BIRYUKOV, M., VLASSIS, N., Ahmed, H., Pellet, J., Baliga, N., HOOD, L., SCHNEIDER, R., BALLING, R., & Auffray, C. (2013). Functional Genomics, Proteomics, Metabolomics and Bioinformatics for Systems Biology. In A. Prokop & B. Csukás (Eds.), Systems Biology: Integrative Biology and Simulation Tools. Springer. doi:10.1007/978-94-007-6803-1_1 Peer reviewed |
 | MULLER, E., GLAAB, E., MAY, P., VLASSIS, N., & WILMES, P. (2013). Condensing the omics fog of microbial communities. Trends in Microbiology, 21 (7), 325–333. doi:10.1016/j.tim.2013.04.009 Peer reviewed |
 | VLASSIS, N., & GLAAB, E. (2013). Network deregulation analysis in complex diseases via the pairwise elastic net. In Proc 8th BeNeLux Bioinformatics Conference. Peer reviewed |
 | Chaiboonchoe, A., JURKOWSKI, W., Pellet, J., GLAAB, E., KOLODKIN, A., Raussel, A., LE BÉCHEC, A., Ballereau, S., Meyniel, L., CRESPO, I., Ahmed, H., Volpert, V., Lotteau, V., Baliga, N., Hood, L., Sol, A. D., BALLING, R., & Auffray, C. (2013). On different aspects of network analysis in systems biology. Systems Biology, 1, 181-207. doi:10.1007/978-94-007-6803-1_6 Peer reviewed |
 | Chaiboonchoe, A., JURKOWSKI, W., Pellet, J., GLAAB, E., KOLODKIN, A., Raussel, A., LE BÉCHEC, A., Meyniel, L., Ballereau, S., CRESPO, I., Ahmed, H., Volpert, V., Lotteau, V., Baliga, N., HOOD, L., del Sol, A., BALLING, R., & Auffray, C. (2013). Network analysis for systems biology. In A. Prokop & Csukás (Eds.), Springer book in Systems Biology, Vol.1: Systems Biology:, Integrative Biology and Simulation Tools (Springer book in Systems Biology, Vol.1). Springer. doi:10.1007/978-94-007-6803-1 Peer reviewed |
TREFOIS, C., Fujita, A. K., OSTASZEWSKI, M., Matsuoka, Y., Ghosh, S., GLAAB, E., Crespo, I., Perumal, T. M., Jurkowski, W., ANTONY, P., DIEDERICH, N., BUTTINI, M., Kodama, A., SATAGOPAM, V., EIFES, S., DEL SOL MESA, A., SCHNEIDER, R., Kitano, H., & BALLING, R. (August 2012). Constructing a comprehensive map of Parkinson’s disease to elucidate underlying mechanisms of its multifaceted molecular pathology [Poster presentation]. The 13th International Conference on Systems Biology. |
 | GLAAB, E., Bacardit, J., Garibaldi, J. M., & Krasnogor, N. (2012). Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data. PLoS ONE, 7 (7), 39932 - 39932. doi:10.1371/journal.pone.0039932 Peer Reviewed verified by ORBi |
 | GLAAB, E., & SCHNEIDER, R. (2012). PathVar: analysis of gene and protein expression variance in cellular pathways using microarray data. Bioinformatics, 446-447. doi:10.1093/bioinformatics/btr656 Peer reviewed |
 | GLAAB, E., Baudot, A., Krasnogor, N., SCHNEIDER, R., & Valencia, A. (2012). EnrichNet: network-based gene set enrichment analysis. Bioinformatics, 28 (18), 451-i457. doi:10.1093/bioinformatics/bts389 Peer reviewed |
 | Bassel, G. W., GLAAB, E., Marquez, J., Holdsworth, M. J., & Bacardit, J. (2011). Functional Network Construction in Arabidopsis Using Rule-Based Machine Learning on Large-Scale Data Sets. Plant Cell, 1-17. doi:10.1105/tpc.111.088153 Peer Reviewed verified by ORBi |
 | Habashy, H. O., Powe, D. G., GLAAB, E., Ball, G., Spiteri, I., Krasnogor, N., Garibaldi, J. M., Rakha, E. A., Green, A. R., Caldas, C., & Ellis, I. O. (2011). RERG (Ras-like, oestrogen-regulated, growth-inhibitor) expression in breast cancer: a marker of ER-positive luminal-like subtype. Breast Cancer Research and Treatment, 128 (2), 315-326. doi:10.1007/s10549-010-1073-y Peer reviewed |
 | Bassel, G. W., Lanc, H., GLAAB, E., Gibbs, D. J., Gerjets, T., Krasnogor, N., Bonner, A. J., Holdsworth, M. J., & Provart, N. J. (2011). A genome-wide network model capturing seed germination reveals co-ordinated regulation of plant cellular phase transitions. Proceedings of the National Academy of Sciences of the United States of America, 108 (23), 9709-9714. doi:10.1073/pnas.1100958108 Peer Reviewed verified by ORBi |
 | Gardner, D. S., Rhodes, P., Karamitri, A., GLAAB, E., & Rhind, S. M. (2011). A low protein diet during early gestation in sheep detrimentally impacts hepatic glucose metabolism in the adult offspring. In Proceedings of the Nutrition Society 2011 (pp. 196). Cambridge University Press. doi:10.1017/S0029665111002473 Peer reviewed |
 | GLAAB, E., Baudot, A., Krasnogor, N., & Valencia, A. (2010). Extending pathways and processes using molecular interaction networks to analyse cancer genome data. BMC Bioinformatics, 11 (1), 597-597. doi:10.1186/1471-2105-11-597 Peer Reviewed verified by ORBi |
 | GLAAB, E., Garibaldi, J. M., & Krasnogor, N. (2010). VRMLGen: An R package for 3D Data Visualization on the Web. Journal of Statistical Software, 36 (8), 1-18. doi:10.18637/jss.v036.i08 Peer Reviewed verified by ORBi |
 | GLAAB, E., Baudot, A., Krasnogor, N., & Valencia, A. (2010). TopoGSA: network topological gene set analysis. Bioinformatics, 26 (9), 1271-1272. doi:10.1093/bioinformatics/btq131 Peer reviewed |
 | GLAAB, E., Garibaldi, J. M., & Krasnogor, N. (2010). Learning pathway-based decision rules to classify microarray cancer samples. In German Conference on Bioinformatics 2010, Lecture Notes in Informatics (LNI) (pp. 123-134). Peer reviewed |
 | GLAAB, E., Clutterbuck, L., Bacardit, J., Wood, A. T., & Mobasheri, A. (2010). Combining chondrocyte gene expression, literature mining and pathway/network analysis to extract biological insights from small-scale microarray data. Osteoarthritis and Cartilage, 18 (2), 169. doi:10.1016/S1063-4584(10)60411-6 Peer Reviewed verified by ORBi |
 | Habashy, H. O., Powe, D. G., Ball, G., GLAAB, E., Soria, D., Garibaldi, J., Krasnogor, N., Green, A. R., Caldas, C., & Ellis, I. O. (2010). Luminal-like oestrogen receptor-positive breast cancer: identification of prognostic biological subclasses. European Journal of Cancer Supplements, 8 (3), 91. doi:10.1016/S1359-6349(10)70143-9 Peer reviewed |
 | GLAAB, E., Garibaldi, J. M., & Krasnogor, N. (2009). ArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization. BMC Bioinformatics, 10 (1), 358-358. doi:10.1186/1471-2105-10-358 Peer Reviewed verified by ORBi |
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