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SECANT: a biology-guided semi-supervised method for clustering, classification, and annotation of single-cell multi-omics.
Wang, Xinjun; Xu, Zhongli; Hu, Haoran; Zhou, Xueping; Zhang, Yanfu; Lafyatis, Robert; Chen, Kong; Huang, Heng; Ding, Ying; Duerr, Richard H; Chen, Wei.
Afiliação
  • Wang X; Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA 15213, USA.
  • Xu Z; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
  • Hu H; Department of Pediatrics, University of Pittsburgh, Pittsburgh, PA 15224, USA.
  • Zhou X; School of Medicine, Tsinghua University, Beijing 100084, China.
  • Zhang Y; Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA 15213, USA.
  • Lafyatis R; Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA 15213, USA.
  • Chen K; Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA 15261, USA.
  • Huang H; Department of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA.
  • Ding Y; Department of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA.
  • Duerr RH; Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA 15261, USA.
  • Chen W; Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA 15213, USA.
PNAS Nexus ; 1(4): pgac165, 2022 Sep.
Article em En | MEDLINE | ID: mdl-36157595

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article