Author

Éric Levy

Personalis (United States)

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

Frequent Co-Authors

Charles W. AbbottiD· 1 shared Dattatreya MellacheruvuiD· 1 shared Gabor T. Bartha· 1 shared John S. West· 1 shared Lee McDanieliD· 1 shared Michael P. SnyderiD· 1 shared Rachel Marty PykeiD· 1 shared Richard CheniD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Charles W. AbbottORCID

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1 paper

Recent·Most cited

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, Charles W. Abbott, Simo V. Zhang, Lee McDaniel, Éric Levy, Gabor T. Bartha, John S. West, Michael P. Snyder, Richard Chen, 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.

bioRxiv · May 20, 2021 · PreprintBioinformatics