Your browser doesn't support javascript.
loading
A deep learning approach to automate refinement of somatic variant calling from cancer sequencing data.
Ainscough, Benjamin J; Barnell, Erica K; Ronning, Peter; Campbell, Katie M; Wagner, Alex H; Fehniger, Todd A; Dunn, Gavin P; Uppaluri, Ravindra; Govindan, Ramaswamy; Rohan, Thomas E; Griffith, Malachi; Mardis, Elaine R; Swamidass, S Joshua; Griffith, Obi L.
Afiliação
  • Ainscough BJ; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA.
  • Barnell EK; Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, USA.
  • Ronning P; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA.
  • Campbell KM; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA.
  • Wagner AH; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA.
  • Fehniger TA; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA.
  • Dunn GP; Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, USA.
  • Uppaluri R; Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA.
  • Govindan R; Department of Neurological Surgery, Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, St. Louis, MO, USA.
  • Rohan TE; Department of Surgery/Otolaryngology, Brigham and Women's Hospital and Dana-Farber Cancer Institute, Boston, MA, USA.
  • Griffith M; Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, USA.
  • Mardis ER; Division of Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA.
  • Swamidass SJ; Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
  • Griffith OL; McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA.
Nat Genet ; 50(12): 1735-1743, 2018 12.
Article em En | MEDLINE | ID: mdl-30397337
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento Eletrônico de Dados / Análise Mutacional de DNA / Sequenciamento de Nucleotídeos em Larga Escala / Aprendizado Profundo / Neoplasias Tipo de estudo: Evaluation_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Nat Genet Assunto da revista: GENETICA MEDICA 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: Processamento Eletrônico de Dados / Análise Mutacional de DNA / Sequenciamento de Nucleotídeos em Larga Escala / Aprendizado Profundo / Neoplasias Tipo de estudo: Evaluation_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Nat Genet Assunto da revista: GENETICA MEDICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos