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Methods for detecting co-mutated pathways in cancer samples to inform treatment selection
Tingting Jiang, Uri Shaham, Fabio Parisi, Ruth Halaban, Anton Safonov, Harriet Kluger, Sherman Weissman, Joseph Chang, Yuval Kluger
doi: https://doi.org/10.1101/082552
Tingting Jiang
1Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
Uri Shaham
2Department of Statistics, Yale University, 24 Hillhouse Ave., New Haven, CT 06511, USA
Fabio Parisi
3Department of Pathology, Yale University School of Medicine, New Haven, CT 06520
Ruth Halaban
4Department of Dermatology, Yale School of Medicine, 333 Cedar St., New Haven, CT 06520, USA
Anton Safonov
5Yale School of Medicine, 333 Cedar St., New Haven, CT 06520, USA
Harriet Kluger
6Section of Oncology, Yale School of Medicine, 333 Cedar St., New Haven, CT 06520, USA
Sherman Weissman
7Department of Genetics and Yale Cancer Center, Yale University School of Medicine, New Haven, CT, USA
Joseph Chang
2Department of Statistics, Yale University, 24 Hillhouse Ave., New Haven, CT 06511, USA
Yuval Kluger
1Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
3Department of Pathology, Yale University School of Medicine, New Haven, CT 06520
8Applied Mathematics Program, Yale University, 51 Prospect St., New Haven, CT 06511, USA
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Posted October 22, 2016.
Methods for detecting co-mutated pathways in cancer samples to inform treatment selection
Tingting Jiang, Uri Shaham, Fabio Parisi, Ruth Halaban, Anton Safonov, Harriet Kluger, Sherman Weissman, Joseph Chang, Yuval Kluger
bioRxiv 082552; doi: https://doi.org/10.1101/082552
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