iEnhance: a multi-scale spatial projection encoding network for enhancing chromatin interaction data resolution.

Li, Kai; Zhang, Ping; Wang, Zilin; Shen, Wei; Sun, Weicheng; Xu, Jinsheng; Wen, Zi; Li, Li

Li, Kai; Zhang, Ping; Wang, Zilin; Shen, Wei; Sun, Weicheng; Xu, Jinsheng; Wen, Zi; Li, Li.

Afiliación

Li K; Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Zhang P; Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Wang Z; Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Shen W; Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Sun W; Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Xu J; Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Wen Z; Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Li L; Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.

Brief Bioinform ; 24(4)2023 07 20.

Article en En | MEDLINE | ID: mdl-37381618

Asunto(s)

Cromatina; Cromosomas; Cromatina/genética; Genoma; Línea Celular

Palabras clave

chromatin interaction data; chromatin loop; deep learning; model evaluation; topological associating domain

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Cromatina / Cromosomas Tipo de estudio: Prognostic_studies Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: China

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