Author

Petar Stojanov

Broad Institute

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· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:differential expression· 2 Assay:DNA methylation· 2 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1

Frequent Co-Authors

Andrew D. CherniackiD· 1 shared Andrew J Mungall· 1 shared Andy Chu· 1 shared Bob Fulton· 1 shared Bradley Murray· 1 shared Carolyn Hutter· 1 shared Carrie L. Sougnez· 1 shared Charlotte K.Y. NgiD· 1 shared

Activity by Year

2017-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Andrew D. CherniackORCID

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3 papers

Recent·Most cited

scDRP: Disentangled representation learning for predicting single-cell responses to perturbations and estimating individual treatment effects

Jianle Sun, Petar Stojanov, Kun Zhang

scDRP estimates individual treatment effects and predicts single-cell responses to perturbations using disentangled representation learning with a sparsity regularized β-VAE.

Briefings in Bioinformatics · Sep 1, 2026Peer-reviewedBioinformatics

Unpaired Data Empowers Association Tests

Mingming Gong, Peng Liu, Frank C. Sciurba, Petar Stojanov, Dacheng Tao, George C. Tseng, Kun Zhang, Kayhan N. Batmanghelich

The paper introduces SAT, a method that uses both paired and unpaired data to improve association tests between biomedical data types, showing better control of false discovery and increased power in real-world applications.

Bioinformatics · Oct 5, 2020Peer-reviewedBioinformatics

Comprehensive characterization of genomic, transcriptomic and epigenomic artifacts introduced in formalin-fixed, paraffin-embedded tissues.

Erik J. Zmuda, Kyle R Covington, Cyriac Kandoth, Charlotte K.Y. Ng, Daniel J Weisenberger, Reanne Bowlby, Andy Chu, Richard Corbett, Denise Brooks, Andrew D. Cherniack, Bradley Murray, Shiyun Ling, Wei Zhao, Eve Shinbrot, Raymond S Lim, , Katherine A Hoadley

This study characterizes genomic, transcriptomic, and epigenomic artifacts in FFPE tissues and provides best practices to mitigate their impact on molecular analysis.

Cancer Genetics · Jun 6, 2017Peer-reviewedBioinformatics