Author

Gabriela Herrera Loeza

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:drug response / drug discovery· 1 Organism:human· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Brian T. Golitz· 1 shared Chinmaya U. JoisaiD· 1 shared Jen Jen YehiD· 1 shared Kevin A. CheniD· 1 shared Madison R. JenneriD· 1 shared Matthew E. BerginskiiD· 1 shared Shawn M. GomeziD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Brian T. Golitz

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1 paper

Recent·Most cited

BioinformaticsPeerJPeer-reviewedNov 16, 2023

Integrated Single-Dose Kinome Profiling Data is Predictive of Cancer Cell Line Sensitivity to Kinase Inhibitors

Chinmaya U. Joisa, Kevin A. Chen, Matthew E. Berginski…·Shawn M. Gomez

The paper links kinase inhibitor treatment effects to cell line responses using integrated kinome profiling data and builds predictive models with high accuracy.

6 citations

humanproteomics

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