A Guide to MethylationToActivity: A Deep Learning Framework That Reveals Promoter Activity Landscapes from DNA Methylomes in Individual Tumors.

Dieseldorff Jones, Karissa; Putnam, Daniel; Williams, Justin; Chen, Xiang

Dieseldorff Jones, Karissa; Putnam, Daniel; Williams, Justin; Chen, Xiang.

Afiliação

Dieseldorff Jones K; Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
Putnam D; Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
Williams J; Department of Tumor Cell Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
Chen X; Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA. xiang.chen@stjude.org.

Methods Mol Biol ; 2624: 73-85, 2023.

Article em En | MEDLINE | ID: mdl-36723810

Assuntos

Aprendizado Profundo; Neoplasias; Adulto; Humanos; Criança; Epigenoma; Neoplasias/genética; Neoplasias/patologia; Metilação de DNA; DNA/genética

Palavras-chave

H3K27ac; H3K4me3; Machine learning; Promoter activity; Tumor

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Neoplasias Limite: Adult / Child / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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