A semi-supervised model to predict regulatory effects of genetic variants at single nucleotide resolution using massively parallel reporter assays.

Yang, Zikun; Wang, Chen; Erjavec, Stephanie; Petukhova, Lynn; Christiano, Angela; Ionita-Laza, Iuliana

Yang, Zikun; Wang, Chen; Erjavec, Stephanie; Petukhova, Lynn; Christiano, Angela; Ionita-Laza, Iuliana.

Afiliação

Yang Z; Department of Biostatistics, Columbia University, New York, 10032, NY, USA.
Wang C; Department of Biostatistics, Columbia University, New York, 10032, NY, USA.
Erjavec S; Department of Genetics & Development, Columbia University, New York, 10032, NY, USA.
Petukhova L; Department of Epidemiology, Columbia University, New York, 10032, NY, USA.
Christiano A; Department of Dermatology, Columbia University, New York, 10032, NY, USA.
Ionita-Laza I; Department of Genetics & Development, Columbia University, New York, 10032, NY, USA.

Bioinformatics ; 2021 Jan 30.

Article em En | MEDLINE | ID: mdl-33515242

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

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