Author

Michael J. Wilson

Princeton University

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 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:gene regulatory network inference· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Assay:ChIP-seq· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Aaron D. VinyiD· 1 shared Alexander PloßiD· 1 shared Alexander Yu RudenskyiD· 1 shared Amy N. NelsoniD· 1 shared Benjamin J. RaphaeliD· 1 shared Christopher H. SuniD· 1 shared Cong MaiD· 1 shared Gabriel A. Dolsten· 1 shared

Activity by Year

2016-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperGenomics

Aaron D. VinyORCID

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Author profile →

3 papers

Recent·Most cited

Metadomain and metaloop genome interactions in mammalian T cells

Gabriel A. Dolsten, Zhong-Min Wang, Xiao Jun Huang, Susie Song, Michael J. Wilson, Xinyang Bing, Wenfan Ke, Thomas R. Cafiero, Amy N. Nelson, Sebastian Fernando, Alexander Ploß, Paul D. Schedl, Michael Levine, Aaron D. Viny, Alexander Yu Rudensky, Yuri Pritykin

The paper identifies distal and interchromosomal chromatin interactions in T cells using a new algorithm and links them to gene regulation through epigenomic analysis.

Cell Reports · May 1, 2026Peer-reviewedGenomics

Inferring allele-specific copy number aberrations and tumor phylogeography from spatially resolved transcriptomics

Cong Ma, Metin Balaban, Jingxian Liu, Siqi Chen, Michael J. Wilson, Christopher H. Sun, Li Ding, Benjamin J. Raphael

CalicoST infers allele-specific copy number aberrations and tumor phylogeography from spatially resolved transcriptomics data, achieving higher accuracy than existing methods.

Nature Methods · Oct 30, 2024Peer-reviewedBioinformatics

Combining multiple tools outperforms individual methods in gene set enrichment analyses

Monther Alhamdoosh, Milica Ng, Nicholas J. Wilson, Julie M. Sheridan, Huy Huynh, Michael J. Wilson, Matthew E. Ritchie

EGSEA combines twelve GSE algorithms to improve gene set enrichment results, outperforming individual methods on simulated and real data.

bioRxiv · Jul 8, 2016Bioinformatics