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CRNET: an efficient sampling approach to infer functional regulatory networks by integrating large-scale ChIP-seq and time-course RNA-seq data.

, , , , , , , and . Bioinform., 34 (10): 1733-1740 (2018)

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Statistical Identification of Co-regulatory Gene Modules using Multiple ChIP-Seq Experiments., , , , , and . BIOINFORMATICS, page 109-116. SciTePress, (2014)Reconstructing transcriptional regulatory networks by probabilistic network component analysis., , , , , and . BCB, page 96. ACM, (2013)CRNET: an efficient sampling approach to infer functional regulatory networks by integrating large-scale ChIP-seq and time-course RNA-seq data., , , , , , , and . Bioinform., 34 (10): 1733-1740 (2018)ChIP-GSM: Inferring active transcription factor modules to predict functional regulatory elements., , , , and . PLoS Comput. Biol., (2021)DM-BLD: differential methylation detection using a hierarchical Bayesian model exploiting local dependency., , , , and . Bioinform., 33 (2): 161-168 (2017)PSSV: a novel pattern-based probabilistic approach for somatic structural variation identification., , , , , and . Bioinform., 33 (2): 177-183 (2017)A Markov random field-based Bayesian model to identify genes with differential methylation., , , , and . CIBCB, page 1-8. IEEE, (2014)DDN: a caBIG® analytical tool for differential network analysis., , , , , , , , , and 1 other author(s). Bioinform., 27 (7): 1036-1038 (2011)mAPC-GibbsOS: an integrated approach for robust identification of gene regulatory networks., , , , , , and . BMC Syst. Biol., 7 (S-5): S4 (2013)A novel statistical approach to identify co-regulatory gene modules., , , , , and . BIBM, page 16-18. IEEE Computer Society, (2013)