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Bioinformatics (Oxford, England)|September 3, 2016
A weighted exact test for mutually exclusive mutations in cancerMark D M Leiserson, Matthew A Reyna, Benjamin J RaphaelBioinformatics (Oxford, England)|November 14, 2018
Hierarchical HotNet: identifying hierarchies of altered subnetworksMatthew A Reyna, Mark D M Leiserson, Benjamin J RaphaelPlos Computational Biology|May 30, 2013
Simultaneous identification of multiple driver pathways in cancerMark D M Leiserson, Dima Blokh, Roded Sharan, et al.Current Opinion in Genetics & Development|November 30, 2013
Network analysis of GWAS dataMark D M Leiserson, Jonathan V Eldridge, Sohini Ramachandran, et al.Genome Biology|August 9, 2015
CoMEt: a statistical approach to identify combinations of mutually exclusive alterations in cancerMark D M Leiserson, Hsin-Ta Wu, Fabio Vandin, et al.Cell Genomics|April 6, 2022
SuperDendrix algorithm integrates genetic dependencies and genomic alterations across pathways and cancer typesTae Yoon Park, Mark D M Leiserson, Gunnar W Klau, et al.Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|January 5, 2021
NetMix: A Network-Structured Mixture Model for Reduced-Bias Estimation of Altered SubnetworksMatthew A Reyna, Uthsav Chitra, Rebecca Elyanow, et al.Plos Computational Biology|June 5, 2023
A mutation-level covariate model for mutational signaturesItay Kahane, Mark D M Leiserson, Roded SharanBioinformatics (Oxford, England)|September 13, 2019
Modeling clinical and molecular covariates of mutational process activity in cancerWelles Robinson, Roded Sharan, Mark D M LeisersonPlos Computational Biology|October 19, 2021
A data-driven approach for constructing mutation categories for mutational signature analysisGal Gilad, Mark D M Leiserson, Roded SharanPageof 22