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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
325 downloads
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 https://hdl.handle.net/10993/53227

The most cited

89 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

Most significant publications selected by the Author

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.


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