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Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis.
Li, Xiangjie; Wang, Kui; Lyu, Yafei; Pan, Huize; Zhang, Jingxiao; Stambolian, Dwight; Susztak, Katalin; Reilly, Muredach P; Hu, Gang; Li, Mingyao.
Afiliación
  • Li X; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Wang K; Center for Applied Statistics, School of Statistics, Renmin University of China, Beijing, 100872, China.
  • Lyu Y; State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China.
  • Pan H; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Zhang J; Department of Information Theory and Data Science, School of Mathematical Sciences and LPMC, Nankai University, Tianjin, 300071, China.
  • Stambolian D; Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Susztak K; Division of Cardiology, Department of Medicine, Columbia University Medical Center, New York, NY, 10032, USA.
  • Reilly MP; Center for Applied Statistics, School of Statistics, Renmin University of China, Beijing, 100872, China.
  • Hu G; Department of Ophthalmology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Li M; Departments of Medicine and Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Nat Commun ; 11(1): 2338, 2020 05 11.
Article en En | MEDLINE | ID: mdl-32393754
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Análisis por Conglomerados / Análisis de la Célula Individual / Aprendizaje Profundo / RNA-Seq Límite: Animals / Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Análisis por Conglomerados / Análisis de la Célula Individual / Aprendizaje Profundo / RNA-Seq Límite: Animals / Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido