Author

Beth Apsel Winger

University of California, San FranciscoORCID 0000-0002-6909-8072Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Organism:human· 1 Assay:proteomics· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Amith Vikram RangarajaniD· 1 shared Emma L. GundersoniD· 1 shared Ilona Sviezhentseva· 1 shared Matthew P. JacobsoniD· 1 shared Yana PikmaniD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperCancer Biology

Amith Vikram RangarajanORCID

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1 paper

Recent·Most cited

A structure-based tool to interpret the significance of kinase mutations in clinical next generation sequencing in cancer

Amith Vikram Rangarajan, Ilona Sviezhentseva, Emma L. Gunderson, Yana Pikman, Matthew P. Jacobson, Beth Apsel Winger

The paper develops a structure-based tool to evaluate kinase mutations in cancer by aligning them with known activating mutations using structural and functional data.

Frontiers in Oncology · Aug 4, 2025Peer-reviewedCancer Biology