Author

John R Leary

University of North Carolina at Chapel Hill

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· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Brian T. Golitz· 1 shared Chinmaya U. JoisaiD· 1 shared Gary L. JohnsoniD· 1 shared Jen Jen YehiD· 1 shared Madison R. JenneriD· 1 shared Matthew B. LipneriD· 1 shared Matthew E. BerginskiiD· 1 shared Naim U. RashidiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Brian T. Golitz

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1 paper

Recent·Most cited

Kinome state is predictive of cell viability in pancreatic cancer tumor and stroma cell lines

Matthew E. Berginski, Madison R. Jenner, Chinmaya U. Joisa, Silvia G. Hererra, Brian T. Golitz, Matthew B. Lipner, John R Leary, Naim U. Rashid, Gary L. Johnson, Jen Jen Yeh, Shawn M. Gomez

The paper links kinome state with cell viability in PDAC tumor and stroma cell lines using regression and classification models, finding predictive relationships and key kinases driving viability responses.

bioRxiv · Jul 21, 2021 · PreprintBioinformatics