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GeNets: a unified web platform for network-based genomic analyses.
Li, Taibo; Kim, April; Rosenbluh, Joseph; Horn, Heiko; Greenfeld, Liraz; An, David; Zimmer, Andrew; Liberzon, Arthur; Bistline, Jon; Natoli, Ted; Li, Yang; Tsherniak, Aviad; Narayan, Rajiv; Subramanian, Aravind; Liefeld, Ted; Wong, Bang; Thompson, Dawn; Calvo, Sarah; Carr, Steve; Boehm, Jesse; Jaffe, Jake; Mesirov, Jill; Hacohen, Nir; Regev, Aviv; Lage, Kasper.
Afiliação
  • Li T; Department of Surgery, Massachusetts General Hospital, Boston, MA, USA.
  • Kim A; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Rosenbluh J; Department of Electrical Engineering & Computer Science, MIT, Cambridge, MA, USA.
  • Horn H; Johns Hopkins School of Medicine, Baltimore, MD, USA.
  • Greenfeld L; Department of Surgery, Massachusetts General Hospital, Boston, MA, USA.
  • An D; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Zimmer A; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Liberzon A; Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
  • Bistline J; Department of Surgery, Massachusetts General Hospital, Boston, MA, USA.
  • Natoli T; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Li Y; Department of Surgery, Massachusetts General Hospital, Boston, MA, USA.
  • Tsherniak A; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Narayan R; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Subramanian A; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Liefeld T; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Wong B; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Thompson D; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Calvo S; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Carr S; Howard Hughes Medical Institute and Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA.
  • Boehm J; Department of Statistics, Harvard University, Cambridge, MA, USA.
  • Jaffe J; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Mesirov J; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Hacohen N; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Regev A; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Lage K; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Nat Methods ; 15(7): 543-546, 2018 07.
Article em En | MEDLINE | ID: mdl-29915188
ABSTRACT
Functional genomics networks are widely used to identify unexpected pathway relationships in large genomic datasets. However, it is challenging to compare the signal-to-noise ratios of different networks and to identify the optimal network with which to interpret a particular genetic dataset. We present GeNets, a platform in which users can train a machine-learning model (Quack) to carry out these comparisons and execute, store, and share analyses of genetic and RNA-sequencing datasets.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Internet / Genômica / Aprendizado de Máquina Idioma: En Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Internet / Genômica / Aprendizado de Máquina Idioma: En Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos