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Genome-wide prediction of pathogenic gain- and loss-of-function variants from ensemble learning of a diverse feature set.
Stein, David; Kars, Meltem Ece; Wu, Yiming; Bayrak, Çigdem Sevim; Stenson, Peter D; Cooper, David N; Schlessinger, Avner; Itan, Yuval.
Afiliación
  • Stein D; Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
  • Kars ME; The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
  • Wu Y; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
  • Bayrak ÇS; The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
  • Stenson PD; The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
  • Cooper DN; College of Life Science, China West Normal University, Nan Chong, Si Chuan, 637009, China.
  • Schlessinger A; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
  • Itan Y; Institute of Medical Genetics, School of Medicine, Cardiff University, Cardiff, CF14 4XN, UK.
Genome Med ; 15(1): 103, 2023 Nov 30.
Article en En | MEDLINE | ID: mdl-38037155
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Proteínas / Genoma Idioma: En Revista: Genome Med Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Proteínas / Genoma Idioma: En Revista: Genome Med Año: 2023 Tipo del documento: Article