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ModulOmics: Integrating Multi-Omics Data to Identify Cancer Driver Modules
Dana Silverbush, Simona Cristea, Gali Yanovich, Tamar Geiger, Niko Beerenwinkel, Roded Sharan
doi: https://doi.org/10.1101/288399
Dana Silverbush
1Blavatnik School of Computer Science, Tel Aviv University, Israel
Simona Cristea
2Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
3Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
4Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, Massachusetts, USA
Gali Yanovich
5Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University, Israel
Tamar Geiger
5Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University, Israel
Niko Beerenwinkel
6Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
7Swiss Institute of Bioinformatics, Basel, Switzerland
Roded Sharan
1Blavatnik School of Computer Science, Tel Aviv University, Israel
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Posted March 24, 2018.
ModulOmics: Integrating Multi-Omics Data to Identify Cancer Driver Modules
Dana Silverbush, Simona Cristea, Gali Yanovich, Tamar Geiger, Niko Beerenwinkel, Roded Sharan
bioRxiv 288399; doi: https://doi.org/10.1101/288399
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