期刊
BIOINFORMATICS
卷 31, 期 18, 页码 3066-3068出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btv305
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类别
资金
- INCa (French National Cancer Institute) [INCa_2960 [PLBIO10]]
- European Union [241955]
- French Ministry of Education and Research
- SYSCILIA
COREGNET is an R/Bioconductor package to analyze large-scale transcriptomic data by highlighting sets of co-regulators. Based on a transcriptomic dataset, COREGNET can be used to: reconstruct a large-scale co-regulatory network, integrate regulation evidences such as transcription factor binding sites and ChIP data, estimate sample-specific regulator activity, identify cooperative transcription factors and analyze the sample-specific combinations of active regulators through an interactive visualization tool. In this study COREGNET was used to identify driver regulators of bladder cancer.
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