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- May 18, 2021.
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- Version 1 (April 15, 2021 - 23:28).
- You are viewing Version 2, the most recent version of this article.
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Author Information
- Mohammad Lotfollahi1,3,*,
- Anna Klimovskaia Susmelj2,5,*,
- Carlo De Donno1,7,**,
- Yuge Ji1,**,
- Ignacio L. Ibarra1,
- F. Alexander Wolf1,º,
- Nafissa Yakubova2,
- Fabian J. Theis1,3,4,6,‡ and
- David Lopez-Paz2
- 1Helmholtz Center Munich – German Research Center for Environmental Health, Institute of Computational Biology, Neuherberg, Munich, Germany
- 2Facebook AI, 6 Rue Ménars, Paris, 75002, France
- 3School of Life Sciences Weihenstephan, Technical University of Munich, Munich, Germany
- 4Department Mathematics, Technical University of Munich, Munich, Munich, Germany
- 5Swiss Data Science Center, Zurich, Switzerland
- 6Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, UK
- 7Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Bavaria, Germany
- ↵‡Correspondence to fabian.theis{at}helmholtz-muenchen.de
Posted May 18, 2021.
Learning interpretable cellular responses to complex perturbations in high-throughput screens
