Author

Philip G. Montgomery

Broad InstituteORCID 0000-0002-2633-1081Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Assay:CRISPR screen· 1 Research Focus:differential expression· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Aviad TsherniakiD· 2 shared David E. RootiD· 2 shared Francisca VázqueziD· 2 shared James M. McFarlandiD· 2 shared Jesse S. BoehmiD· 2 shared Jordan BryaniD· 2 shared Joshua M. DempsteriD· 2 shared Todd R. GolubiD· 2 shared

Activity by Year

2017-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 44 mutual co-author links

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2 shared papersGenomics

Aviad TsherniakORCID

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3 papers

Recent·Most cited

Natural language processing of gene descriptions for overrepresentation analysis with GeneTEA

Isabella Boyle, Nayeem Akram Aquib, Mustafa Kocak, Randy Creasi, Philip G. Montgomery, Catarina D. Campbell, Joshua M. Dempster

GeneTEA uses natural language processing to analyze gene descriptions and improve overrepresentation analysis by creating a de novo gene set database that better controls false discovery.

Genome biology · Oct 30, 2025Peer-reviewedBioinformatics

Improved estimation of cancer dependencies from large-scale RNAi screens using model-based normalization and data integration

James M. McFarland, Zandra V. Ho, Guillaume Kugener, Joshua M. Dempster, Philip G. Montgomery, Jordan Bryan, John Michael Krill-Burger, Thomas M. Green, Francisca Vázquez, Jesse S. Boehm, Todd R. Golub, William C. Hahn, David E. Root, Aviad Tsherniak

The paper improves gene dependency estimation from RNAi screens by using model-based normalization and data integration, enhancing accuracy and enabling cross-dataset analysis.

Nature Communications · Oct 29, 2018Peer-reviewedGenomics

Computational correction of copy-number effect improves specificity of CRISPR-Cas9 essentiality screens in cancer cells

Robin M. Meyers, Jordan Bryan, James M. McFarland, Barbara A. Weir, Ann E. Sizemore, Han Xu, Neekesh V. Dharia, Philip G. Montgomery, Glenn S. Cowley, Sasha Pantel, Amy B. Goodale, Yenarae Lee, Levi D. Ali, Guozhi Jiang, Rakela Lubonja, , Aviad Tsherniak

The paper develops CERES, a computational method to correct copy-number effects in CRISPR-Cas9 essentiality screens, improving specificity in cancer cell line studies.

Nature Genetics · Oct 30, 2017Peer-reviewedGenomics