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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.
Afiliação
  • 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 em En | MEDLINE | ID: mdl-30559491
In the version of this article originally published, the name of author Serafim Batzoglou was misspelled. The error has been corrected in the HTML and PDF versions of the article.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article