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A novel Bayesian model for assessing intratumor heterogeneity of tumor infiltrating leukocytes with multi-region gene expression sequencing.
Yang, Peng; Hubert, Shawna M; Futreal, P Andrew; Song, Xingzhi; Zhang, Jianhua; Lee, J Jack; Wistuba, Ignacio; Yuan, Ying; Zhang, Jianjun; Li, Ziyi.
Afiliação
  • Yang P; Department of Statistics, Rice University, Houston, Texas 77005, U.S.A.
  • Hubert SM; Department of Biostatistics, The University of Texas MD Anderson Cancer Center Houston, Texas 77030, U.S.A.
  • Futreal PA; Department of Thoracic Head Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Song X; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Zhang J; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Lee JJ; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Wistuba I; Department of Biostatistics, The University of Texas MD Anderson Cancer Center Houston, Texas 77030, U.S.A.
  • Yuan Y; Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Zhang J; Department of Biostatistics, The University of Texas MD Anderson Cancer Center Houston, Texas 77030, U.S.A.
  • Li Z; Department of Thoracic Head Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
bioRxiv ; 2023 Oct 29.
Article em En | MEDLINE | ID: mdl-37961165

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

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