Armin Rauschenberger - researchr alias

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Viewing Publication 1 - 7 from 7

2023

Penalized regression with multiple sources of prior effectsArmin Rauschenberger, Zied Landoulsi, Mark A. van de Wiel, Enrico Glaab. bioinformatics, 39(12), December 2023. [doi]

2022

Ten quick tips for biomarker discovery and validation analyses using machine learningRamón Díaz-Uriarte, Elisa Gómez de Lope, Rosalba Giugno, Holger Fröhlich, Petr V. Nazarov, Isabel A. Nepomuceno-Chamorro, Armin Rauschenberger, Enrico Glaab. ploscb, 18(8), 2022. [doi]

2021

Predictive and interpretable models via the stacked elastic netArmin Rauschenberger, Enrico Glaab, Mark A. van de Wiel. bioinformatics, 37(14):2012-2016, 2021. [doi]

Predicting correlated outcomes from molecular dataArmin Rauschenberger, Enrico Glaab. bioinformatics, 37(21):3889-3895, 2021. [doi]

Fast Cross-validation for Multi-penalty High-dimensional Ridge RegressionMark A. van de Wiel, Mirrelijn M. van Nee, Armin Rauschenberger. jcgs, 30(4):835-847, 2021. [doi]

2020

Sparse classification with paired covariatesArmin Rauschenberger, Iuliana Ciocanea Teodorescu, Marianne A. Jonker, Renée X. de Menezes, Mark A. van de Wiel. adac, 14(3):571-588, 2020. [doi]

2016

Testing for association between RNA-Seq and high-dimensional dataArmin Rauschenberger, Marianne A. Jonker, Mark A. van de Wiel, Renée X. de Menezes. bmcbi, 17:118, 2016. [doi]

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