Armin Rauschenberger

According to our database, Armin Rauschenberger authored at least 8 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson's disease.

Cyril Brzenczek, Quentin Klopfenstein, Tom Hähnel, Holger Fröhlich, Enrico Glaab, Geeta Acharya, Gloria Aguayo, Myriam Alexandre, Muhammad Ali, Wim Ammerlann, Giuseppe Arena, Michele Bassis, Roxane Batutu, Katy Beaumont, Sibylle Béchet, Guy Berchem, Alexandre Bisdorff, Ibrahim Boussaad, David Bouvier, Lorieza Castillo, Gessica Contesotto, Nancy De Bremaeker, Brian Dewitt, Nico Diederich, Rene Dondelinger, Nancy E. Ramia, Angelo Ferrari, Katrin Frauenknecht, Joëlle Fritz, Carlos Gamio, Manon Gantenbein, Piotr Gawron, Laura Georges, Soumyabrata Ghosh, Marijus Giraitis, Martine Goergen, Elisa Gómez de Lope, Jérôme Graas, Mariella Graziano, Valentin Groues, Anne Grünewald, Gaël Hammot, Anne-Marie Hanff, Linda Hansen, Michael Heneka, Estelle Henry, Margaux Henry, Sylvia Herbrink, Sascha Herzinger, Alexander Hundt, Nadine Jacoby, Sonja Jónsdóttir, Jochen Klucken, Olga Kofanova, Rejko Krüger, Pauline Lambert, Zied Landoulsi, Roseline Lentz, Ana Festas Lopes, Victoria Lorentz, Tainá M. Marques, Guilherme Marques, Patricia Martins Conde, Patrick May, Deborah Mcintyre, Chouaib Mediouni, Francoise Meisch, Alexia Mendibide, Myriam Menster, Maura Minelli, Michel Mittelbronn, Saïda Mtimet, Maeva Munsch, Romain Nati, Ulf Nehrbass, Sarah Nickels, Beatrice Nicolai, Jean-Paul Nicolay, Maria Fernanda Niño Uribe, Fozia Noor, Clarissa P. C. Gomes, Sinthuja Pachchek, Claire Pauly, Laure Pauly, Lukas Pavelka, Magali Perquin, Achilleas Pexaras, Armin Rauschenberger, Rajesh Rawal, Dheeraj Reddy Bobbili, Lucie Remark, Ilsé Richard, Olivia Roland, Kirsten Roomp, Eduardo Rosales, Stefano Sapienza, Venkata Satagopam, Sabine Schmitz, Reinhard Schneider, Jens Schwamborn, Raquel Severino, Amir Sharify, Ruxandra Soare, Ekaterina Soboleva, Kate Sokolowska, Maud Theresine, Hermann Thien, Elodie Thiry, Rebecca Ting Jiin Loo, Johanna Trouet, Olena Tsurkalenko, Michel Vaillant, Carlos Vega, Liliana Vilas Boas, Paul Wilmes, Evi Wollscheid-Lengeling, Gelani Zelimkhanov

npj Digit. Medicine, 2024

2023

Penalized regression with multiple sources of prior effects.

Armin Rauschenberger, Zied Landoulsi, Mark A. van de Wiel, Enrico Glaab

Bioinform., December, 2023

2022

Ten quick tips for biomarker discovery and validation analyses using machine learning.

Ramón Díaz-Uriarte, Elisa Gómez de Lope, Rosalba Giugno, Holger Fröhlich, Petr V. Nazarov, Isabel A. Nepomuceno-Chamorro, Armin Rauschenberger, Enrico Glaab

PLoS Comput. Biol., 2022

2021

Fast Cross-validation for Multi-penalty High-dimensional Ridge Regression.

Mark A. van de Wiel, Mirrelijn M. van Nee, Armin Rauschenberger

J. Comput. Graph. Stat., 2021

Predicting correlated outcomes from molecular data.

Armin Rauschenberger, Enrico Glaab

Bioinform., 2021

Predictive and interpretable models via the stacked elastic net.

Armin Rauschenberger, Enrico Glaab, Mark A. van de Wiel

Bioinform., 2021

2020

Sparse classification with paired covariates.

Armin Rauschenberger, Iuliana Ciocanea-Teodorescu, Marianne A. Jonker, Renée X. de Menezes, Mark A. van de Wiel

Adv. Data Anal. Classif., 2020

2016

Testing for association between RNA-Seq and high-dimensional data.

Armin Rauschenberger, Marianne A. Jonker, Mark A. van de Wiel, Renée X. de Menezes

BMC Bioinform., 2016