A sequence-based deep learning approach to predict CTCF-mediated chromatin loop.

Lv, Hao; Dao, Fu-Ying; Zulfiqar, Hasan; Su, Wei; Ding, Hui; Liu, Li; Lin, Hao

Lv, Hao; Dao, Fu-Ying; Zulfiqar, Hasan; Su, Wei; Ding, Hui; Liu, Li; Lin, Hao.

Afiliación

Lv H; Informational Biology at University of Electronic Science and Technology of China.
Dao FY; Informational Biology at University of Electronic Science and Technology of China.
Zulfiqar H; Informational Biology at University of Electronic Science and Technology of China.
Su W; Informational Biology at University of Electronic Science and Technology of China.
Ding H; Informational Biology at University of Electronic Science and Technology of China.
Liu L; Laboratory of Theoretical Biophysics at Inner Mongolia University.
Lin H; Informational Biology at University of Electronic Science and Technology of China.

Brief Bioinform ; 22(5)2021 09 02.

Article en En | MEDLINE | ID: mdl-33634313

Asunto(s)

Factor de Unión a CCCTC/genética; Cromatina/metabolismo; Genoma Humano; Redes Neurales de la Computación; Factor de Unión a CCCTC/metabolismo; Cromatina/ultraestructura; Conjuntos de Datos como Asunto; Regulación de la Expresión Génica; Humanos; Células K562; Células MCF-7; Conformación Molecular; Motivos de Nucleótidos; Programas Informáticos

Palabras clave

CTCF; chromosome conformation; deep learning; loop; sequence feature

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Cromatina / Genoma Humano / Redes Neurales de la Computación / Factor de Unión a CCCTC Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2021 Tipo del documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google