Author

Joel Markus Vaz

Fred Hutch Cancer CenterORCID 0009-0008-7177-3525Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Approach:machine learning (classical)· 2 Research Focus:differential expression· 1 Approach:statistical model· 1

Frequent Co-Authors

Marina ChaniD· 2 shared Songli ZhuiD· 2 shared Taranjit S. GujraliD· 2 shared Aleena K. S. ArakakiiD· 1 shared Brittany R. BarberiD· 1 shared Bruce E. ClurmaniD· 1 shared Cristina P. RodrigueziD· 1 shared Deby Kumasaka· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersCancer Biology

Marina ChanORCID

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2 papers

Recent·Most cited

Cancer BiologyProceedings of the National Academy of SciencesPeer-reviewedFeb 10, 2026

A Systems approach identifies MERTK as a therapeutic vulnerability in ZFTA-RELA-driven ependymomas

Marina Chan, Songli Zhu, Zachary R. Russell…·Taranjit S. Gujral

This study identifies MERTK as a therapeutic target in ZFTA-RELA-driven ependymomas through transcriptomic analysis and drug screening.

2 citations

humanbulk RNA-seq

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BioinformaticsbioRxivPreprintDec 9, 2025

Subtype-Specific Dependencies and Drug Vulnerabilities Enable Precision Therapeutics in Head and Neck Cancer

Joel Markus Vaz, Songli Zhu, Mateo Useche…·Taranjit S. Gujral

The paper identifies subtype-specific dependencies and drug vulnerabilities in HNSCC to enable precision therapeutics using transcriptomic and CRISPR data.

DOI 10.64898/2025.12.05.692684

humanbulk RNA-seq

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