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BREM-SC: a bayesian random effects mixture model for joint clustering single cell multi-omics data.
Wang, Xinjun; Sun, Zhe; Zhang, Yanfu; Xu, Zhongli; Xin, Hongyi; Huang, Heng; Duerr, Richard H; Chen, Kong; Ding, Ying; Chen, Wei.
Afiliación
  • Wang X; Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA.
  • Sun Z; Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA.
  • Zhang Y; Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA.
  • Xu Z; Department of Pediatrics, University of Pittsburgh, Pittsburgh, PA, USA.
  • Xin H; School of Medicine, Tsinghua University, Beijing, China.
  • Huang H; Department of Pediatrics, University of Pittsburgh, Pittsburgh, PA, USA.
  • Duerr RH; Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA.
  • Chen K; Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
  • Ding Y; Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
  • Chen W; Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA.
Nucleic Acids Res ; 48(11): 5814-5824, 2020 06 19.
Article en En | MEDLINE | ID: mdl-32379315
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Simulación por Computador / Análisis por Conglomerados / Teorema de Bayes / Análisis de la Célula Individual Tipo de estudio: Clinical_trials / Prognostic_studies Límite: Humans Idioma: En Revista: Nucleic Acids Res Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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PubMed Links
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Simulación por Computador / Análisis por Conglomerados / Teorema de Bayes / Análisis de la Célula Individual Tipo de estudio: Clinical_trials / Prognostic_studies Límite: Humans Idioma: En Revista: Nucleic Acids Res Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos