SemanticCAP: Chromatin Accessibility Prediction Enhanced by Features Learning from a Language Model.

Zhang, Yikang; Chu, Xiaomin; Jiang, Yelu; Wu, Hongjie; Quan, Lijun

Zhang, Yikang; Chu, Xiaomin; Jiang, Yelu; Wu, Hongjie; Quan, Lijun.

Afiliación

Zhang Y; School of Computer Science and Technology, Soochow University, Suzhou 215006, China.
Chu X; Jiangsu Province Key Lab for Information Processing Technologies, Soochow University, Suzhou 215006, China.
Jiang Y; School of Computer Science and Technology, Soochow University, Suzhou 215006, China.
Wu H; School of Computer Science and Technology, Soochow University, Suzhou 215006, China.
Quan L; School of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, China.

Genes (Basel) ; 13(4)2022 03 23.

Article en En | MEDLINE | ID: mdl-35456374

Asunto(s)

Cromatina; Lenguaje; Cromatina/genética; Inmunoprecipitación de Cromatina; ADN/genética; Factores de Transcripción/genética

Palabras clave

chromatin accessibility; drug design; feature fusion; language model; transformer

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Cromatina / Lenguaje Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Genes (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China

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