Author

Rachel Marty Pyke

Personalis (United States)ORCID 0000-0001-8967-7867Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:differential expression· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Approach:statistical model· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Charles W. AbbottiD· 2 shared Dattatreya MellacheruvuiD· 2 shared Gabor T. Bartha· 2 shared John S. West· 2 shared Michael P. SnyderiD· 2 shared Richard CheniD· 2 shared Sean Michael BoyleiD· 2 shared Simo V. ZhangiD· 2 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Charles W. AbbottORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMay 20, 2021

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

Rachel Marty Pyke, Dattatreya Mellacheruvu, Steven Dea…·Sean Michael Boyle

The paper develops DASH, a machine learning algorithm to detect HLA LOH in cancer, showing 18% prevalence across 611 patients and correlations with PD-L1 and MSI.

1 citation

humanwhole-exome sequencing

𝕏 PostBluesky

BioinformaticsMolecular & Cellular ProteomicsPeer-reviewedJan 1, 2021

Precision neoantigen discovery using large-scale immunopeptidomes and composite modeling of MHC peptide presentation

Rachel Marty Pyke, Dattatreya Mellacheruvu, Steven Dea…·Sean Michael Boyle

This paper introduces SHERPA, a pan-allelic MHC-peptide prediction algorithm, which improves neoantigen discovery by integrating immunopeptidomics data and composite modeling.

34 citations

humanproteomics

𝕏 PostBluesky