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is ?:annotates of
?:authorAffiliation
  • [\'Lyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX, USA.\', \'Department of Population and Data Science, UT Southwestern Medical Center, Dallas, TX, USA.\', \'Lyda Hill Department of Bioinformatics, UT Southwestern Medical Center, Dallas, TX, USA. bo.li@utsouthwestern.edu.\', \'Department of Immunology, UT Southwestern Medical Center, Dallas, TX, USA. bo.li@utsouthwestern.edu.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • 10.1038/s41467-021-25006-7
?:hasPublicationType
?:journal
  • Nature communications
is ?:pmid of
?:pmid
?:pmid
  • 34349111
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 6.582
?:rankingScore_hIndex
  • 198
?:title
  • GIANA allows computationally-efficient TCR clustering and multi-disease repertoire classification by isometric transformation.
?:type
?:year
  • 2021

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