Improving comparative analyses of Hi-C data via contrastive self-supervised learning.

Li, Han; He, Xuan; Kurowski, Lawrence; Zhang, Ruotian; Zhao, Dan; Zeng, Jianyang

Li, Han; He, Xuan; Kurowski, Lawrence; Zhang, Ruotian; Zhao, Dan; Zeng, Jianyang.

Li H; Institute for Interdisciplinary Information Sciences, Tsinghua University, 100084 Beijing, China.
He X; Machine Learning Department, Silexon AI Technology Co., Ltd., 210000 Nanjing, China.
Kurowski L; Institute for Interdisciplinary Information Sciences, Tsinghua University, 100084 Beijing, China.
Zhang R; Institute for Interdisciplinary Information Sciences, Tsinghua University, 100084 Beijing, China.
Zhao D; Institute for Interdisciplinary Information Sciences, Tsinghua University, 100084 Beijing, China.
Zeng J; Institute for Interdisciplinary Information Sciences, Tsinghua University, 100084 Beijing, China.

Brief Bioinform ; 24(4)2023 07 20.

Article en En | MEDLINE | ID: mdl-37287135

Asunto(s)

Cromatina; Cromosomas; Reproducibilidad de los Resultados; Cromatina/genética; Cromosomas/genética; Genómica/métodos; Aprendizaje Automático Supervisado

Palabras clave

Hi-C; chromosome conformation; contrastive learning; differential chromatin interaction; graph neural network; reproducibility measurement

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Cromatina / Cromosomas Idioma: En Año: 2023 Tipo del documento: Article

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Cromatina / Cromosomas Idioma: En Año: 2023 Tipo del documento: Article