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Author Correction: Predicting the clinical impact of human mutation with deep neural networks.
Sundaram, Laksshman; Gao, Hong; Padigepati, Samskruthi Reddy; McRae, Jeremy F; Li, Yanjun; Kosmicki, Jack A; Fritzilas, Nondas; Hakenberg, Jörg; Dutta, Anindita; Shon, John; Xu, Jinbo; Batzoglou, Serafim; Li, Xiaolin; Farh, Kyle Kai-How.
Afiliación
  • Sundaram L; Illumina Artificial Intelligence Laboratory, Illumina Inc, San Diego, CA, USA.
  • Gao H; Department of Computer Science, Stanford University, Stanford, CA, USA.
  • Padigepati SR; National Science Foundation Center for Big Learning, University of Florida, Gainesville, FL, USA.
  • McRae JF; Illumina Artificial Intelligence Laboratory, Illumina Inc, San Diego, CA, USA.
  • Li Y; Illumina Artificial Intelligence Laboratory, Illumina Inc, San Diego, CA, USA.
  • Kosmicki JA; National Science Foundation Center for Big Learning, University of Florida, Gainesville, FL, USA.
  • Fritzilas N; Illumina Artificial Intelligence Laboratory, Illumina Inc, San Diego, CA, USA.
  • Hakenberg J; National Science Foundation Center for Big Learning, University of Florida, Gainesville, FL, USA.
  • Dutta A; Illumina Artificial Intelligence Laboratory, Illumina Inc, San Diego, CA, USA.
  • Shon J; Analytic and Translational Genetics Unit (ATGU), Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Xu J; Illumina Artificial Intelligence Laboratory, Illumina Inc, San Diego, CA, USA.
  • Batzoglou S; Illumina Artificial Intelligence Laboratory, Illumina Inc, San Diego, CA, USA.
  • Li X; Illumina Artificial Intelligence Laboratory, Illumina Inc, San Diego, CA, USA.
  • Farh KK; Illumina Artificial Intelligence Laboratory, Illumina Inc, San Diego, CA, USA.
Nat Genet ; 51(2): 364, 2019 02.
Article en En | MEDLINE | ID: mdl-30559491
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Nat Genet Asunto de la revista: GENETICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Nat Genet Asunto de la revista: GENETICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos