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Constructing Multilevel Gene Regulatory Networks CMGRN


An integrative web server to unravel hierarchical interactive networks at different regulatory levels. The developed method used the Bayesian network modeling to infer causal interrelationships among transcription factors or epigenetic modifications by using ChIP-seq data. Moreover, CMGRN used Bayesian hierarchical model with Gibbs sampling to incorporate binding signals of these regulators and gene expression profile together for reconstructing gene regulatory networks.

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yufei's avatar image


a good bioinformatics tools for network

KAORU's avatar image



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Department of Biology, Hong Kong Baptist University, Hong Kong, China; Department of Internal Medicine and Biochemistry, Rush University Medical Center, Chicago, IL, USA; Department of Biochemistry and HKU-SIRI, Centre for Genomic Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Key Laboratory of Acupuncture and Medicine Research of Minister of Education, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China

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