Mark D. M. Leiserson

According to our database, Mark D. M. Leiserson authored at least 21 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

A mutation-level covariate model for mutational signatures.

Itay Kahane, Mark D. M. Leiserson, Roded Sharan

PLoS Comput. Biol., 2023

2022

ScalpelSig Designs Targeted Genomic Panels from Data to Detect Activity of Mutational Signatures.

Nicholas Franzese, Jason Fan, Roded Sharan, Mark D. M. Leiserson

J. Comput. Biol., 2022

2021

A data-driven approach for constructing mutation categories for mutational signature analysis.

Gal Gilad, Mark D. M. Leiserson, Roded Sharan

PLoS Comput. Biol., 2021

2020

Matrix (factorization) reloaded: flexible methods for imputing genetic interactions with cross-species and side information.

Jason Fan, Xuan Cindy Li, Mark Crovella, Mark D. M. Leiserson

Bioinform., 2020

A Mixture Model for Signature Discovery from Sparse Mutation Data.

Itay Sason, Yuexi Chen, Mark D. M. Leiserson, Roded Sharan

Proceedings of the Research in Computational Molecular Biology, 2020

DNA Repair Footprint Uncovers Contribution of DNA Repair Mechanism to MutationalSignatures.

Damian Wójtowicz, Mark D. M. Leiserson, Roded Sharan, Teresa M. Przytycka

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

Session Introduction.

Mark D. M. Leiserson, Teresa M. Przytycka, Roded Sharan

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

PhySigs: Phylogenetic Inference of Mutational Signature Dynamics.

Sarah A. Christensen, Mark D. M. Leiserson, Mohammed El-Kebir

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

2019

Modeling clinical and molecular covariates of mutational process activity in cancer.

Welles Robinson, Roded Sharan, Mark D. M. Leiserson

Bioinform., 2019

A Sticky Multinomial Mixture Model of Strand-Coordinated Mutational Processes in Cancer.

Itay Sason, Damian Wójtowicz, Welles Robinson, Mark D. M. Leiserson, Teresa M. Przytycka, Roded Sharan

Proceedings of the Research in Computational Molecular Biology, 2019

What are the Biases in My Word Embedding?

Nathaniel Swinger, Maria De-Arteaga, Neil Thomas Heffernan IV, Mark D. M. Leiserson, Adam Tauman Kalai

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018

Hierarchical HotNet: identifying hierarchies of altered subnetworks.

Matthew A. Reyna, Mark D. M. Leiserson, Benjamin J. Raphael

Bioinform., 2018

A Multi-species Functional Embedding Integrating Sequence and Network Structure.

Mark D. M. Leiserson, Jason Fan, Anthony Cannistra, Inbar Fried, Tim Lim, Thomas Schaffner, Mark Crovella, Benjamin J. Hescott

Proceedings of the Research in Computational Molecular Biology, 2018

Decoupled Classifiers for Group-Fair and Efficient Machine Learning.

Cynthia Dwork, Nicole Immorlica, Adam Tauman Kalai, Mark D. M. Leiserson

Proceedings of the Conference on Fairness, Accountability and Transparency, 2018

2016

Methods for Identifying Combinations of Driver Mutations in Cancer.

Mark D. M. Leiserson

PhD thesis, 2016

A weighted exact test for mutually exclusive mutations in cancer.

Mark D. M. Leiserson, Matthew A. Reyna, Benjamin J. Raphael

Bioinform., 2016

2015

CoMEt: A Statistical Approach to Identify Combinations of Mutually Exclusive Alterations in Cancer.

Mark D. M. Leiserson, Hsin-Ta Wu, Fabio Vandin, Benjamin J. Raphael

Proceedings of the Research in Computational Molecular Biology, 2015

2013

Simultaneous Identification of Multiple Driver Pathways in Cancer.

Mark D. M. Leiserson, Dima Blokh, Roded Sharan, Benjamin J. Raphael

PLoS Comput. Biol., 2013

2012

Genecentric: a package to uncover graph-theoretic structure in high-throughput epistasis data.

Andrew Gallant, Mark D. M. Leiserson, Maxim Kachalov, Lenore J. Cowen, Benjamin J. Hescott

Proceedings of the ACM International Conference on Bioinformatics, 2012

2011

Inferring Mechanisms of Compensation from E-MAP and SGA Data Using Local Search Algorithms for Max Cut.

Mark D. M. Leiserson, Diana Tatar, Lenore J. Cowen, Benjamin J. Hescott

Proceedings of the Research in Computational Molecular Biology, 2011

2009

Evaluating Between-Pathway Models with Expression Data.

Benjamin J. Hescott, Mark D. M. Leiserson, Lenore Cowen, Donna K. Slonim

Proceedings of the Research in Computational Molecular Biology, 2009