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RAUSCHENBERGER Armin

University of Luxembourg > Luxembourg Centre for Systems Biomedicine > Biomedical Data Science > Team Enrico GLAAB

Main Referenced Co-authors
GLAAB, Enrico  (10)
KRÜGER, Rejko  (10)
LEIST, Anja  (10)
PAULY, Claire  (9)
PAULY, Laure  (7)
Main Referenced Keywords
prediction (5); machine learning (4); Parkinson's disease (4); ridge regression (3); biomarkers (2);
Main Referenced Unit & Research Centers
Luxembourg Centre for Systems Biomedicine (LCSB): Biomedical Data Science (Glaab Group) (10)
Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group) (3)
Luxembourg Centre for Systems Biomedicine (LCSB): Clinical & Experimental Neuroscience (Krüger Group) (3)
LIH - Luxembourg Institute of Health (2)
Amsterdam UMC, VU University Amsterdam, Department of Epidemiology and Biostatistics (1)
Main Referenced Disciplines
Neurology (8)
Human health sciences: Multidisciplinary, general & others (8)
Life sciences: Multidisciplinary, general & others (7)
Computer science (5)
Biotechnology (4)

Publications (total 24)

The most downloaded
204 downloads
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 https://hdl.handle.net/10993/60077

The most cited

71 citations (OpenAlex)

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 https://hdl.handle.net/10993/50106

The most significant

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.

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

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.


MARTINS CONDE, P., Bulaev, D., RAUSCHENBERGER, A., OHNMACHT, J., Fritz, J. V., O'Sullivan, M. P., ANCIEN, F., GHOSH, S., TSURKALENKO, O., KOLODKIN, A., SATAGOPAM, V., Vaillant, M., KLUCKEN, J., KRÜGER, R., & CON-VINCE/ORCHESTRA Study Consortium. (27 October 2025). Co-occurrence of memory impairment and fatigue distinguishes post COVID from pandemic-related health effects in the 4-year CON-VINCE cohort study. Scientific Reports, 15 (1), 37381. doi:10.1038/s41598-025-19984-7
Peer Reviewed verified by ORBi

HANFF, A.-M., McCrum, C., RAUSCHENBERGER, A., Aguayo, G. A., PAULY, C., JONSDOTTIR, S., TSURKALENKO, O., Zeegers, M. P.* , LEIST, A.* , Krüger, R.* , & NCER-PD consortium. (2025). Sex-specific progression of Parkinson's disease: A longitudinal mixed-models analysis. Journal of Parkinson's Disease, 1877718X251339201. doi:10.1177/1877718X251339201
Peer Reviewed verified by ORBi
* These authors have contributed equally to this work.

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.

PAULY, L., RAUSCHENBERGER, A., PAULY, C., Schröder, V. E., Van Cutsem, G., LEIST, A., Krüger, R., & NCER-PD Consortium. (23 April 2024). Cognition and Other Non-Motor Symptoms in an At-Risk Cohort for Parkinson’s Disease Defined by REM-Sleep Behavior Disorder and Hyposmia. Journal of Parkinson's Disease, 14 (3), 545-556. doi:10.3233/jpd-230285
Peer Reviewed verified by ORBi

PAULY, L., PAULY, C., HANSEN, M., Schröder, V. E., RAUSCHENBERGER, A., LEIST, A., & KRÜGER, R. (05 January 2024). Retrograde procedural memory is impaired in people with Parkinson’s disease with freezing of gait. Frontiers in Aging Neuroscience, 15. doi:10.3389/fnagi.2023.1296323
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

HANFF, A.-M., PAULY, C., PAULY, L., RAUSCHENBERGER, A., LEIST, A., KRÜGER, R., Zeegers, M. P.* , McCrum, C.* , & NCER-PD consortium. (23 November 2023). Determinants of patient-reported functional mobility in people with Parkinson's disease: A systematic review. Gait and Posture, 108, 97 - 109. doi:10.1016/j.gaitpost.2023.11.013
Peer Reviewed verified by ORBi
* These authors have contributed equally to this work.

HANFF, A.-M., McCrum, C., RAUSCHENBERGER, A., Aguayo, G., PAULY, C., JONSDOTTIR, S., TSURKALENKO, O., Zeegers, M., LEIST, A., & KRÜGER, R. (2023). Sex-specific progression of Parkinson’s disease: A longitudinal mixed-models analysis. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/58421. doi:10.31219/osf.io/f64zv

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.

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

de Menezes, R. X., RAUSCHENBERGER, A., ’t Hoen, P. A. C., Jonker, M., & BIOS Consortium. (2023). A powerful global test for spliceQTL effects. Biometrical Journal. doi:10.1002/bimj.202100123
Peer reviewed

HANFF, A.-M., McCrum, C., RAUSCHENBERGER, A., Aguayo, G. A., Zeegers, M. P., LEIST, A., & KRÜGER, R. (2023). Validation of a Parkinson's disease questionnaire-39-based functional mobility composite score (FMCS) in people with Parkinson's disease. Parkinsonism and Related Disorders, 112, 105442. doi:10.1016/j.parkreldis.2023.105442
Peer Reviewed verified by ORBi

PAULY, L., PAULY, C., HANSEN, M., SCHRÖDER, V., RAUSCHENBERGER, A., LEIST, A., & KRÜGER, R. (2022). Retrograde Procedural Memory in Parkinson’s Disease: A Cross-Sectional, Case-Control Study. Journal of Parkinson's Disease. doi:10.3233/JPD-213081
Peer Reviewed verified by ORBi

PAULY, L., PAULY, C., HANSEN, M., SCHRÖDER, V., RAUSCHENBERGER, A., LEIST, A., & KRÜGER, R. (March 2022). Retrograde Procedural Memory in Parkinson's Disease [Poster presentation]. Deutscher Kongress für Parkinson und Bewegungsstörungen 2022.

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

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

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

PAULY, L., RAUSCHENBERGER, A., PAULY, C., HANSEN, M., PAVELKA, L., HANFF, A.-M., SCHRÖDER, V., LEIST, A., & KRÜGER, R. (17 September 2021). The retrograde procedural memory in people with Parkinson’s disease with or without freezing of gait – a cross-sectional study [Poster presentation]. Movement Disorders Society Congress 2021.

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., 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

van de Wiel, M. A., van Nee, M. M., & RAUSCHENBERGER, A. (2021). Fast cross-validation for multi-penalty ridge regression. Journal of Computational and Graphical Statistics, 30 (4), 835-847. doi:10.1080/10618600.2021.1904962
Peer reviewed

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.

RAUSCHENBERGER, A., Ciocănea-Teodorescu, I., Jonker, M. A., Menezes, R. X., & van de Wiel, M. A. (2020). Sparse classification with paired covariates. Advances in Data Analysis and Classification, 14, 571–588. doi:10.1007/s11634-019-00375-6
Peer reviewed

RAUSCHENBERGER, A., Jonker, M. A., van de Wiel, M. A., & Menezes, R. X. (08 March 2016). Testing for association between RNA-Seq and high-dimensional data. BMC Bioinformatics, 17, 118. doi:10.1186/s12859-016-0961-5
Peer Reviewed verified by ORBi

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