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Ultra-fast scalable estimation of single-cell differentiation potency from scRNA-Seq data.
Teschendorff, Andrew E; Maity, Alok K; Hu, Xue; Weiyan, Chen; Lechner, Matthias.
Afiliação
  • Teschendorff AE; CAS Key Lab of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
  • Maity AK; UCL Cancer Institute, University College London, London WC1E 6BT, UK.
  • Hu X; CAS Key Lab of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
  • Weiyan C; CAS Key Lab of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
  • Lechner M; CAS Key Lab of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Bioinformatics ; 37(11): 1528-1534, 2021 07 12.
Article em En | MEDLINE | ID: mdl-33244588

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: RNA Citoplasmático Pequeno / Análise de Célula Única Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: RNA Citoplasmático Pequeno / Análise de Célula Única Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido