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We construct gene and miRNA co-expression modules using the weighted gene co-expression network analysis (WGCNA) method and establish the significance of these modules (Genes\/miRNAs) for cancer phenotype. This work also infers an interaction network between the genes of the turquoise module from mRNA expression data and hubs of the turquoise module from miRNA expression data. A pathway enrichment analysis using a miRsystem web tool for miRNA hubs and some of their targets, reveal their enrichment in several important pathways associated with the progression of cancer.<\/jats:p>","DOI":"10.1515\/jib-2021-0029","type":"journal-article","created":{"date-parts":[[2021,11,20]],"date-time":"2021-11-20T09:17:47Z","timestamp":1637399867000},"source":"Crossref","is-referenced-by-count":7,"title":["Modular network inference between miRNA\u2013mRNA expression profiles using weighted co-expression network analysis"],"prefix":"10.1515","volume":"18","author":[{"given":"Nisar","family":"Wani","sequence":"first","affiliation":[{"name":"Computer Science and Engineering Department, Govt. College of Engineering and Technology Safapora , Ganderbal Kashmir , J&K , India"}]},{"given":"Debmalya","family":"Barh","sequence":"additional","affiliation":[{"name":"Institute of Integrative Omics and Applied Biotechnology (IIOAB) , Nonakuri , Purba Medinipur , WB , India"},{"name":"Department of Genetics, Ecology and Evolution , Institute of Biological Sciences, Federal University of Minas Gerais , Belo Horizonte , Minas Gerais , Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3646-6828","authenticated-orcid":false,"given":"Khalid","family":"Raza","sequence":"additional","affiliation":[{"name":"Department of Computer Science , Jamia Millia Islamia , New Delhi , India"}]}],"member":"374","published-online":{"date-parts":[[2021,11,22]]},"reference":[{"key":"2023033120115563402_j_jib-2021-0029_ref_001","doi-asserted-by":"crossref","unstructured":"Raza, K, Alam, M. Recurrent neural network based hybrid model for reconstructing gene regulatory network. 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