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An interpretable ML model to characterize patient-specific HLA-I antigen presentation.
Liang, Shaoheng; Jiang, Xianli; Chiu, Yulun; Xu, Haodong; Kim, Kun Hee; Lizee, Gregory; Chen, Ken.
Afiliação
  • Liang S; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, 77030, USA.
  • Jiang X; Department of Computer Science, Rice University, Houston, Texas, 77005, USA.
  • Chiu Y; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, 77030, USA.
  • Xu H; Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, 77030, USA.
  • Kim KH; Department of Immunology, The University of Texas MD Anderson Cancer Center, Houston, Texas, 77030, USA.
  • Lizee G; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, 77030, USA.
  • Chen K; The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
bioRxiv ; 2023 Mar 13.
Article em En | MEDLINE | ID: mdl-36993682
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article