Deciphering hierarchical organization of topologically associated domains through change-point testing.

Xing, Haipeng; Wu, Yingru; Zhang, Michael Q; Chen, Yong

Xing, Haipeng; Wu, Yingru; Zhang, Michael Q; Chen, Yong.

Afiliación

Xing H; Department of Applied Mathematics and Statistics, State University of New York at Stony Brook, 100 Nicolls Rd, Stony Brook, NY, 11794, USA.
Wu Y; Department of Applied Mathematics and Statistics, State University of New York at Stony Brook, 100 Nicolls Rd, Stony Brook, NY, 11794, USA.
Zhang MQ; Center for System Biology, University of Texas at Dallas, 800 W Campbell Rd, Richardson, TX, 75080, USA.
Chen Y; Department of Molecular and Cellular Biosciences, Rowan University, 201 Mullica Hill Rd, Glassboro, NJ, 08028, USA. chenyong@rowan.edu.

BMC Bioinformatics ; 22(1): 183, 2021 Apr 10.

Article en En | MEDLINE | ID: mdl-33838653

Asunto(s)

Cromatina; Cromosomas; Núcleo Celular; Cromatina/genética; Simulación por Computador; Regulación de la Expresión Génica; Humanos

Palabras clave

Change-points; Chromatin interaction; Generalized likelihood-ratio test; Hi-C data; Hierarchical TADs

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Cromatina / Cromosomas Tipo de estudio: Risk_factors_studies Límite: Humans Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

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