iEnhancer-XG: interpretable sequence-based enhancers and their strength predictor.

Cai, Lijun; Ren, Xuanbai; Fu, Xiangzheng; Peng, Li; Gao, Mingyu; Zeng, Xiangxiang

Cai, Lijun; Ren, Xuanbai; Fu, Xiangzheng; Peng, Li; Gao, Mingyu; Zeng, Xiangxiang.

Afiliação

Cai L; College of Computer Science and Electronic Engineering, Hunan University, 410082 Changsha, Hunan, China.
Ren X; College of Computer Science and Electronic Engineering, Hunan University, 410082 Changsha, Hunan, China.
Fu X; College of Computer Science and Electronic Engineering, Hunan University, 410082 Changsha, Hunan, China.
Peng L; College of Computer Science and Engineering, Hunan University of Science and Technology, 411103 XiangTan, China.
Gao M; College of Computer Science and Electronic Engineering, Hunan University, 410082 Changsha, Hunan, China.
Zeng X; College of Computer Science and Electronic Engineering, Hunan University, 410082 Changsha, Hunan, China.

Bioinformatics ; 37(8): 1060-1067, 2021 05 23.

Article em En | MEDLINE | ID: mdl-33119044

Assuntos

Elementos Facilitadores Genéticos; Software; DNA; Elementos Facilitadores Genéticos/genética; Matrizes de Pontuação de Posição Específica; Análise de Sequência de DNA

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Elementos Facilitadores Genéticos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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