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

Saved in:
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
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 35414054
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A machine learning algorithm with subclonal sensitivity reveals widespread pan-cancer human leukocyte antigen loss of heterozygosity.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Pyke+RM%22">Pyke RM</searchLink>; Personalis, Inc, Menlo Park, CA, USA.<br /><searchLink fieldCode="AU" term="%22Mellacheruvu+D%22">Mellacheruvu D</searchLink>; Personalis, Inc, Menlo Park, CA, USA.<br /><searchLink fieldCode="AU" term="%22Dea+S%22">Dea S</searchLink>; Personalis, Inc, Menlo Park, CA, USA.<br /><searchLink fieldCode="AU" term="%22Abbott+CW%22">Abbott CW</searchLink>; Personalis, Inc, Menlo Park, CA, USA.<br /><searchLink fieldCode="AU" term="%22McDaniel+L%22">McDaniel L</searchLink>; Personalis, Inc, Menlo Park, CA, USA.<br /><searchLink fieldCode="AU" term="%22Bhave+DP%22">Bhave DP</searchLink>; Personalis, Inc, Menlo Park, CA, USA.<br /><searchLink fieldCode="AU" term="%22Zhang+SV%22">Zhang SV</searchLink>; Personalis, Inc, Menlo Park, CA, USA.<br /><searchLink fieldCode="AU" term="%22Levy+E%22">Levy E</searchLink>; Personalis, Inc, Menlo Park, CA, USA.<br /><searchLink fieldCode="AU" term="%22Bartha+G%22">Bartha G</searchLink>; Personalis, Inc, Menlo Park, CA, USA.<br /><searchLink fieldCode="AU" term="%22West+J%22">West J</searchLink>; Personalis, Inc, Menlo Park, CA, USA.<br /><searchLink fieldCode="AU" term="%22Snyder+MP%22">Snyder MP</searchLink>; Stanford University, Palo Alto, CA, USA.<br /><searchLink fieldCode="AU" term="%22Chen+RO%22">Chen RO</searchLink>; Personalis, Inc, Menlo Park, CA, USA. richard.chen@personalis.com.<br /><searchLink fieldCode="AU" term="%22Boyle+SM%22">Boyle SM</searchLink>; Personalis, Inc, Menlo Park, CA, USA. sean.boyle@personalis.com.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101528555%22">Nature communications</searchLink> [Nat Commun] 2022 Apr 12; Vol. 13 (1), pp. 1925. <i>Date of Electronic Publication: </i>2022 Apr 12.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Research Support, Non-U.S. Gov't
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Pub%2E+Group%22">Nature Pub. Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101528555 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2041-1723 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220411723%22">20411723 </searchLink><i>NLM ISO Abbreviation: </i>Nat Commun <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=35414054
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1038/s41467-022-29203-w
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 1925
    Titles:
      – TitleFull: A machine learning algorithm with subclonal sensitivity reveals widespread pan-cancer human leukocyte antigen loss of heterozygosity.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Pyke RM
      – PersonEntity:
          Name:
            NameFull: Mellacheruvu D
      – PersonEntity:
          Name:
            NameFull: Dea S
      – PersonEntity:
          Name:
            NameFull: Abbott CW
      – PersonEntity:
          Name:
            NameFull: McDaniel L
      – PersonEntity:
          Name:
            NameFull: Bhave DP
      – PersonEntity:
          Name:
            NameFull: Zhang SV
      – PersonEntity:
          Name:
            NameFull: Levy E
      – PersonEntity:
          Name:
            NameFull: Bartha G
      – PersonEntity:
          Name:
            NameFull: West J
      – PersonEntity:
          Name:
            NameFull: Snyder MP
      – PersonEntity:
          Name:
            NameFull: Chen RO
      – PersonEntity:
          Name:
            NameFull: Boyle SM
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 12
              M: 04
              Text: 2022 Apr 12
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-electronic
              Value: 2041-1723
          Numbering:
            – Type: volume
              Value: 13
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Nature communications
              Type: main
ResultId 1