Biologically relevant transfer learning improves transcription factor binding prediction.

Novakovsky, Gherman; Saraswat, Manu; Fornes, Oriol; Mostafavi, Sara; Wasserman, Wyeth W

Novakovsky, Gherman; Saraswat, Manu; Fornes, Oriol; Mostafavi, Sara; Wasserman, Wyeth W.

Afiliação

Novakovsky G; Centre for Molecular Medicine and Therapeutics, BC Children's Hospital Research Institute, Vancouver, BC, V5Z 4H4, Canada.
Saraswat M; Department of Medical Genetics, University of British Columbia, Vancouver, BC, V6H 3 N1, Canada.
Fornes O; Centre for Molecular Medicine and Therapeutics, BC Children's Hospital Research Institute, Vancouver, BC, V5Z 4H4, Canada.
Mostafavi S; Department of Medical Genetics, University of British Columbia, Vancouver, BC, V6H 3 N1, Canada.
Wasserman WW; Centre for Molecular Medicine and Therapeutics, BC Children's Hospital Research Institute, Vancouver, BC, V5Z 4H4, Canada. oriol@cmmt.ubc.ca.

Genome Biol ; 22(1): 280, 2021 09 27.

Article em En | MEDLINE | ID: mdl-34579793

Assuntos

Aprendizado de Máquina; Fatores de Transcrição/metabolismo; Sequenciamento de Cromatina por Imunoprecipitação; Genoma

Palavras-chave

Deep learning; Model interpretation; Transcription factor binding prediction; Transfer learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fatores de Transcrição / Aprendizado de Máquina Tipo de estudo: Evaluation_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Genome Biol Ano de publicação: 2021 Tipo de documento: Article

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