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- Title
Robust identification of transcriptional regulatory networks using a Gibbs sampler on outlier sum statistic.
- Authors
Gu, Jinghua; Xuan, Jianhua; Riggins, Rebecca B; Chen, Li; Wang, Yue; Clarke, Robert
- Abstract
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 'noise' in microarray data and false-positives in binding data, especially when applied to human tumor-derived cell line studies. More robust methods that can counteract the imperfection of data sources are therefore needed for reliable identification of TRNs in this context.
- Publication
Bioinformatics (Oxford, England), 2012, Vol 28, Issue 15, p1990
- ISSN
1367-4811
- Publication type
Journal Article
- DOI
10.1093/bioinformatics/bts296