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Deep neural networks with knockoff features identify nonlinear causal relations and estimate effect sizes in complex biological systems.
Fan, Zhenjiang; Kernan, Kate F; Sriram, Aditya; Benos, Panayiotis V; Canna, Scott W; Carcillo, Joseph A; Kim, Soyeon; Park, Hyun Jung.
Afiliação
  • Fan Z; Department of Computer Science, University of Pittsburgh, Pittsburgh, PA 15213, USA.
  • Kernan KF; Division of Pediatric Critical Care Medicine, Department of Critical Care Medicine, Children's Hospital of Pittsburgh, Center for Critical Care Nephrology and Clinical Research Investigation and Systems Modeling of Acute Illness Center, University of Pittsburgh, Pittsburgh, PA 15260,USA.
  • Sriram A; Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA 15213, USA.
  • Benos PV; Department of Epidemiology, University of Florida, Gainesville, FL 32610, USA.
  • Canna SW; Pediatric Rheumatology, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
  • Carcillo JA; Division of Pediatric Critical Care Medicine, Department of Critical Care Medicine, Children's Hospital of Pittsburgh, Center for Critical Care Nephrology and Clinical Research Investigation and Systems Modeling of Acute Illness Center, University of Pittsburgh, Pittsburgh, PA 15260,USA.
  • Kim S; Division of Pediatric Pulmonary Medicine, Children's Hospital of Pittsburgh, Pittsburgh, PA 15224, USA.
  • Park HJ; Department of Pediatrics, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15224, USA.
Gigascience ; 122022 12 28.
Article em En | MEDLINE | ID: mdl-37395630
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Gigascience Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Gigascience Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Estados Unidos