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Oncogenetic Network Estimation with Disjunctive Bayesian Networks: Learning from Unstratified Samples while Preserving Mutual Exclusivity Relations
Phillip B. Nicol, Kevin R. Coombes, Courtney Deaver, Oksana A. Chkrebtii, Subhadeep Paul, Amanda E. Toland, Amir Asiaee
doi: https://doi.org/10.1101/2020.04.13.040022
Phillip B. Nicol
1Harvard University, Cambridge, MA 02138, USA
Kevin R. Coombes
2Department of Biomedical Informatics, Ohio State University, Columbus, OH 43210, USA
Courtney Deaver
3Natural Sciences Division, Pepperdine University, Malibu, CA 90263, USA
Oksana A. Chkrebtii
4Department of Statistics, Ohio State University, Columbus, OH 43210, USA
Subhadeep Paul
4Department of Statistics, Ohio State University, Columbus, OH 43210, USA
Amanda E. Toland
5Departments of Cancer Biology and Genetics and Department of Internal Medicine, Division of Human Genetics, Comprehensive Cancer Center, Ohio State University, Columbus, OH, 43420, USA
Amir Asiaee
6Mathematical Biosciences Institute, Ohio State University, Columbus, OH 43210, USA
Posted April 14, 2020.
Oncogenetic Network Estimation with Disjunctive Bayesian Networks: Learning from Unstratified Samples while Preserving Mutual Exclusivity Relations
Phillip B. Nicol, Kevin R. Coombes, Courtney Deaver, Oksana A. Chkrebtii, Subhadeep Paul, Amanda E. Toland, Amir Asiaee
bioRxiv 2020.04.13.040022; doi: https://doi.org/10.1101/2020.04.13.040022
Oncogenetic Network Estimation with Disjunctive Bayesian Networks: Learning from Unstratified Samples while Preserving Mutual Exclusivity Relations
Phillip B. Nicol, Kevin R. Coombes, Courtney Deaver, Oksana A. Chkrebtii, Subhadeep Paul, Amanda E. Toland, Amir Asiaee
bioRxiv 2020.04.13.040022; doi: https://doi.org/10.1101/2020.04.13.040022
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