Author

Bartholomew Tam

University of California San Diego

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Jiayan MaiD· 2 shared Jill P. MesiroviD· 2 shared Pablo TamayoiD· 2 shared William KimiD· 2 shared Alex Wenzel· 1 shared Amey Gupta· 1 shared Antony Castanza· 1 shared David EbyiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Jiayan MaORCID

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2 papers

Recent·Most cited

The Multi-scale Copula Index (MCI): a new information-theoretic measure of association and its applications in functional cancer genomics

Timothy Pham, Karina Meneses-Cime, Jiayan Ma, Bartholomew Tam, Amey Gupta, Michael R. Reich, Alex Wenzel, David Eby, Thorin T. Tabor, Helga Thorvaldsdóttir, Antony Castanza, Jill P. Mesirov, William Kim, Pablo Tamayo

The paper introduces the Multi-scale Copula Index (MCI), an information-theoretic measure of association, and demonstrates its utility in cancer genomics for capturing contextual associations in complex datasets.

bioRxiv · Oct 16, 2026 · PreprintBioinformatics

Deciphering the Functional Roles of Individual Cancer Alleles Across Comprehensive Cancer Genomic Studies

Jiayan Ma, Stephanie Ting, Bartholomew Tam, Timothy V. Pham, Michael M. Reich, Jill P. Mesirov, Pablo Tamayo, William Kim

This paper introduces REVEALER 2.0, an improved algorithm for identifying genomic alterations associated with functional profiles, showing increased speed and resolution for analyzing cancer genomic data.

bioRxiv · Nov 14, 2023 · PreprintBioinformatics