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Robust identification of transcriptional regulatory networks using a Gibbs sampler on outlier sum statistic

Motivation: Identification of transcriptional regulatory networks (TRNs) is of significant importance in computational biology for cancer research, providing a critical building block to unravel disease pathways. However, existing methods for TRN identification suffer from the inclusion of excessive...

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Detalhes bibliográficos
Main Authors: Gu, Jinghua, Xuan, Jianhua, Riggins, Rebecca B., Chen, Li, Wang, Yue, Clarke, Robert
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2012
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3400952/
https://ncbi.nlm.nih.gov/pubmed/22595208
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bts296
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