A machine learning algorithm with subclonal sensitivity reveals widespread pan-cancer human leukocyte antigen loss of heterozygosity.

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Bibliographic Details
Title: A machine learning algorithm with subclonal sensitivity reveals widespread pan-cancer human leukocyte antigen loss of heterozygosity.
Authors: Pyke RM; Personalis, Inc, Menlo Park, CA, USA., Mellacheruvu D; Personalis, Inc, Menlo Park, CA, USA., Dea S; Personalis, Inc, Menlo Park, CA, USA., Abbott CW; Personalis, Inc, Menlo Park, CA, USA., McDaniel L; Personalis, Inc, Menlo Park, CA, USA., Bhave DP; Personalis, Inc, Menlo Park, CA, USA., Zhang SV; Personalis, Inc, Menlo Park, CA, USA., Levy E; Personalis, Inc, Menlo Park, CA, USA., Bartha G; Personalis, Inc, Menlo Park, CA, USA., West J; Personalis, Inc, Menlo Park, CA, USA., Snyder MP; Stanford University, Palo Alto, CA, USA., Chen RO; Personalis, Inc, Menlo Park, CA, USA. richard.chen@personalis.com., Boyle SM; Personalis, Inc, Menlo Park, CA, USA. sean.boyle@personalis.com.
Source: Nature communications [Nat Commun] 2022 Apr 12; Vol. 13 (1), pp. 1925. Date of Electronic Publication: 2022 Apr 12.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2041-1723
DOI:10.1038/s41467-022-29203-w