Machine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical properties. by Michael P Menden, Francesco Iorio, Mathew Garnett, Ultan McDermott, Cyril H Benes, Pedro J Ballester, Julio Saez-Rodriguez

Get full text

Interpretable multimodal machine learning (IMML) framework reveals pathological signatures of distal sensorimotor polyneuropathy by Phong B. H. Nguyen, Daniel Garger, Diyuan Lu, Haifa Maalmi, Holger Prokisch, Barbara Thorand, Jerzy Adamski, Gabi Kastenmüller, Melanie Waldenberger, Christian Gieger, Annette Peters, Karsten Suhre, Gidon J. Bönhof, Wolfgang Rathmann, Michael Roden, Harald Grallert, Dan Ziegler, Christian Herder, Michael P. Menden

Get full text

Identification of a presymptomatic and early disease signature for amyotrophic lateral sclerosis (ALS): protocol of the premodiALS study by Laura Tzeplaeff, Ana Galhoz, Clara Meijs, Lucas Caldi Gomes, Andrej Kovac, Amrei Menzel, Hatice Değirmenci, Abir Alaamel, Hüseyin Can Kaya, Ali Günalp Çelik, Sine Dinçer, Meltem Korucuk, Sibel Berker Karaüzüm, Elif Bayraktar, Vildan Çiftçi, Uğur Bilge, Filiz Koç, Antonia F. Demleitner, Anne Buchberger, Ricarda von Heynitz, Vincent Gmeiner, Christina Knellwolf, Mohammed Mouzouri, Joanne Wuu, A. Nazli Başak, Peter Munch Andersen, Florian Kohlmayer, Nicholas J. Ashton, Wojciech Kuban, Christof Lenz, Mary-Louise Rogers, Norbert Zilka, Philippe Corcia, Yossef Lerner, Markus Weber, Monika Turcanova Koprusakova, Hilmi Uysal, Michael Benatar, Michael P. Menden, Paul Lingor

Get full text