CONFIGURE: A pipeline for identifying context specific regulatory modules from gene expression data and its application to breast cancer.

Park, Sungjoon; Hwang, Doyeong; Yeo, Yoon Sun; Kim, Hyunggee; Kang, Jaewoo

Park, Sungjoon; Hwang, Doyeong; Yeo, Yoon Sun; Kim, Hyunggee; Kang, Jaewoo.

Afiliación

Park S; Department of Computer Science and Engineering, Korea University, Seoul, Republic of Korea.
Hwang D; Department of Computer Science and Engineering, Korea University, Seoul, Republic of Korea.
Yeo YS; Department of Computer Science and Engineering, Korea University, Seoul, Republic of Korea.
Kim H; Department of Biotechnology, School of Life Sciences and Biotechnology, Korea University, Seoul, Republic of Korea.
Kang J; Institute of Animal Molecular Biotechnology, Korea University, Seoul, Republic of Korea.

BMC Med Genomics ; 12(Suppl 5): 97, 2019 07 11.

Article en En | MEDLINE | ID: mdl-31296219

Asunto(s)

Neoplasias de la Mama/genética; Perfilación de la Expresión Génica/métodos; Biología Computacional; Humanos; Aprendizaje Automático

Palabras clave

Breast cancer subtype; Context specific regulatory module; Feature importance score; Gene regulatory network inference; Single sample GSEA

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Perfilación de la Expresión Génica Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: BMC Med Genomics Asunto de la revista: GENETICA MEDICA Año: 2019 Tipo del documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google