J. West

Validated machine learning algorithm with sub-clonal sensitivity reveals widespread pan-cancer human leukocyte antigen loss of heterozygosity

Simo V. Zhang, S. Boyle, L. McDaniel, 2021, bioRxiv.

A variant by any name: quantifying annotation discordance across tools and clinical databases

Deanna M. Church, Richard Chen, Sarah Garcia, 2016, Genome Medicine.

Abstract 1898: Accurate modeling of antigen processing and MHC peptide presentation using large-scale immunopeptidomes and a novel machine learning framework

Dattatreya Mellacheruvu, Rachel Marty Pyke, Rena McClory, 2021, Immunology.

73 Orthogonally and functionally validated algorithm for detecting HLA loss of heterozygosity

Simo V. Zhang, J. Lyle, S. Boyle, 2020, Journal for ImmunoTherapy of Cancer.

P04.02 A high sensitivity, tumor-informed liquid biopsy platform, designed to detect minimum residual disease at part per million resolution

R. Chen, E. Newburn, D. Norton, 2022, Poster Presentations.