Author

W. Beckabir

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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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-exome sequencing· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

A. Rubinsteyn· 1 shared B. Vincent· 1 shared C. C. Smith· 1 shared D. S. Bortone· 1 shared K. Olsen· 1 shared M. Fini· 1 shared O. Jadi· 1 shared S. Chai· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperCancer Biology

A. Rubinsteyn

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1 paper

Recent·Most cited

LENS - Landscape of Effective Neoantigens Software

S. P. Vensko, K. Olsen, D. S. Bortone, C. C. Smith, S. Chai, W. Beckabir, M. Fini, O. Jadi, A. Rubinsteyn, B. Vincent

LENS identifies tumor-specific and tumor-associated antigens from diverse genomic sources in cancer samples, expanding epitope discovery beyond somatic variants.

bioRxiv · Apr 1, 2022Cancer Biology