Leveraging heterogeneity across multiple datasets increases cell-mixture deconvolution accuracy and reduces biological and technical biases.

Vallania, Francesco; Tam, Andrew; Lofgren, Shane; Schaffert, Steven; Azad, Tej D; Bongen, Erika; Haynes, Winston; Alsup, Meia; Alonso, Michael; Davis, Mark; Engleman, Edgar; Khatri, Purvesh

Vallania, Francesco; Tam, Andrew; Lofgren, Shane; Schaffert, Steven; Azad, Tej D; Bongen, Erika; Haynes, Winston; Alsup, Meia; Alonso, Michael; Davis, Mark; Engleman, Edgar; Khatri, Purvesh.

Afiliação

Vallania F; Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, 94305, CA, USA.
Tam A; Stanford Center for Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, 94305, CA, USA.
Lofgren S; Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, 94305, CA, USA.
Schaffert S; Stanford Institutes of Medicine Summer Research Program, Stanford University, Stanford, 94305, CA, USA.
Azad TD; Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, 94305, CA, USA.
Bongen E; Stanford Center for Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, 94305, CA, USA.
Haynes W; Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, 94305, CA, USA.
Alsup M; Stanford Center for Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, 94305, CA, USA.
Alonso M; Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, 94305, CA, USA.
Davis M; Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, 94305, CA, USA.
Engleman E; Stanford Center for Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, 94305, CA, USA.
Khatri P; Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, 94305, CA, USA.

Nat Commun ; 9(1): 4735, 2018 11 09.

Article em En | MEDLINE | ID: mdl-30413720

Assuntos

Bases de Dados como Assunto; Leucócitos Mononucleares/metabolismo; Doença; Humanos; Análise em Microsséries; Curva ROC

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Leucócitos Mononucleares / Bases de Dados como Assunto Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos

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