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VoPo leverages cellular heterogeneity for predictive modeling of single-cell data.
Stanley, Natalie; Stelzer, Ina A; Tsai, Amy S; Fallahzadeh, Ramin; Ganio, Edward; Becker, Martin; Phongpreecha, Thanaphong; Nassar, Huda; Ghaemi, Sajjad; Maric, Ivana; Culos, Anthony; Chang, Alan L; Xenochristou, Maria; Han, Xiaoyuan; Espinosa, Camilo; Rumer, Kristen; Peterson, Laura; Verdonk, Franck; Gaudilliere, Dyani; Tsai, Eileen; Feyaerts, Dorien; Einhaus, Jakob; Ando, Kazuo; Wong, Ronald J; Obermoser, Gerlinde; Shaw, Gary M; Stevenson, David K; Angst, Martin S; Gaudilliere, Brice; Aghaeepour, Nima.
Afiliação
  • Stanley N; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.
  • Stelzer IA; Department of Biomedical Data Science, Stanford University, Stanford, USA.
  • Tsai AS; Department of Pediatrics, Stanford University, Stanford, USA.
  • Fallahzadeh R; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.
  • Ganio E; Department of Pediatrics, Stanford University, Stanford, USA.
  • Becker M; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.
  • Phongpreecha T; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.
  • Nassar H; Department of Biomedical Data Science, Stanford University, Stanford, USA.
  • Ghaemi S; Department of Pediatrics, Stanford University, Stanford, USA.
  • Maric I; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.
  • Culos A; Department of Pediatrics, Stanford University, Stanford, USA.
  • Chang AL; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.
  • Xenochristou M; Department of Biomedical Data Science, Stanford University, Stanford, USA.
  • Han X; Department of Pediatrics, Stanford University, Stanford, USA.
  • Espinosa C; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.
  • Rumer K; Department of Biomedical Data Science, Stanford University, Stanford, USA.
  • Peterson L; Department of Pathology, Stanford University, Stanford, USA.
  • Verdonk F; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.
  • Gaudilliere D; Department of Biomedical Data Science, Stanford University, Stanford, USA.
  • Tsai E; Department of Pediatrics, Stanford University, Stanford, USA.
  • Feyaerts D; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.
  • Einhaus J; Department of Biomedical Data Science, Stanford University, Stanford, USA.
  • Ando K; Department of Pediatrics, Stanford University, Stanford, USA.
  • Wong RJ; Digital Technologies Research Centre, National Research Council Canada, Toronto, ON, Canada.
  • Obermoser G; Department of Pediatrics, Stanford University, Stanford, USA.
  • Shaw GM; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.
  • Stevenson DK; Department of Biomedical Data Science, Stanford University, Stanford, USA.
  • Angst MS; Department of Pediatrics, Stanford University, Stanford, USA.
  • Gaudilliere B; Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, USA.
  • Aghaeepour N; Department of Biomedical Data Science, Stanford University, Stanford, USA.
Nat Commun ; 11(1): 3738, 2020 07 27.
Article em En | MEDLINE | ID: mdl-32719375
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Análise de Célula Única / Modelos Biológicos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Análise de Célula Única / Modelos Biológicos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article