Global transcription network incorporating distal regulator binding reveals selective cooperation of cancer drivers and risk genes

Global network modeling of distal regulatory interactions is essential in understanding the overall architecture of gene expression programs. Here, we developed a Bayesian probabilistic model and computational method for global causal network construction with breast cancer as a model. Whereas physi...

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Detalles Bibliográficos
Autores principales: Kim, Kwoneel, Yang, Woojin, Lee, Kang Seon, Bang, Hyoeun, Jang, Kiwon, Kim, Sang Cheol, Yang, Jin Ok, Park, Seongjin, Park, Kiejung, Choi, Jung Kyoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4499150/
https://www.ncbi.nlm.nih.gov/pubmed/26001967
http://dx.doi.org/10.1093/nar/gkv532

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4499150/
https://www.ncbi.nlm.nih.gov/pubmed/26001967
http://dx.doi.org/10.1093/nar/gkv532

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