CoRegNet: Reconstruction and integrated analysis of co-regulatory networks

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Abstract

© 2015 The Author. 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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Nicolle, R., Radvanyi, F., & Elati, M. (2015). CoRegNet: Reconstruction and integrated analysis of co-regulatory networks. Bioinformatics, 31(18), 3066–3068. https://doi.org/10.1093/bioinformatics/btv305

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