Back
  1. Home
  2. Profile of Armin RAUSCHENBERGER (Unilu)
Profil

RAUSCHENBERGER Armin

University of Luxembourg

Main Referenced Co-authors
GLAAB, Enrico  (9)
KRÜGER, Rejko  (9)
LEIST, Anja  (9)
PAULY, Claire  (8)
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) (9)
Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group) (3)
Luxembourg Centre for Systems Biomedicine (LCSB): Clinical & Experimental Neuroscience (Krüger Group) (3)
Amsterdam UMC, VU University Amsterdam, Department of Epidemiology and Biostatistics (1)
Integrative Research Unit: Social and Individual Development (INSIDE) > PEARL Institute for Research on Socio-Economic Inequality (IRSEI) (1)
Main Referenced Disciplines
Human health sciences: Multidisciplinary, general & others (8)
Neurology (7)
Life sciences: Multidisciplinary, general & others (7)
Computer science (4)
Biotechnology (4)

Publications (total 21)

The most downloaded
92 downloads
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 https://hdl.handle.net/10993/46864

The most cited

23 citations (Scopus®)

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. (2023). Penalised regression with multiple sources of prior effects. Bioinformatics, in press. doi:10.48550/arXiv.2212.08581
Peer Reviewed verified by ORBi

Rauschenberger, A., Glaab, E., & van de Wiel, M. (2021). Predictive and interpretable models via the stacked elastic net. Bioinformatics, 37 (14), 2012–2016. doi:10.1093/bioinformatics/btaa535
Peer reviewed

Rauschenberger, A., & Glaab, E. (2021). Predicting correlated outcomes from molecular data. Bioinformatics, 37 (21), 3889–3895. doi:10.1093/bioinformatics/btab576
Peer reviewed


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

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., & Glaab, E. (2023). Predicting Dichotomised Outcomes from High-Dimensional Data in Biomedicine. Journal of Applied Statistics. doi:10.1080/02664763.2023.2233057
Peer reviewed

Rauschenberger, A., Landoulsi, Z., van de Wiel, M. A., & Glaab, E. (2023). Penalised regression with multiple sources of prior effects. Bioinformatics, in press. doi:10.48550/arXiv.2212.08581
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

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. doi:10.3233/JPD-213081

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

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

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., & van de Wiel, M. (2021). Predictive and interpretable models via the stacked elastic net. Bioinformatics, 37 (14), 2012–2016. doi:10.1093/bioinformatics/btaa535
Peer reviewed

Rauschenberger, A., & Glaab, E. (2021). Predicting correlated outcomes from molecular data. Bioinformatics, 37 (21), 3889–3895. doi:10.1093/bioinformatics/btab576
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

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

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

Contact ORBilu