{"title":"Global analysis of miRNA target genes in colon rectal cancer","authors":"M. Pradhan, L. Ledford, Yogesh Pandit, M. Palakal","doi":"10.1109/BIBM.2010.5706588","DOIUrl":null,"url":null,"abstract":"In this paper we present a global analysis of colon rectal cancer genes and their associated miRNAs. Significant genes in colon cancer were obtained by mining the literature and cancer related miRNAs were obtained from miRbase. Five different features were used to analyze to obtain a global gene-miRNA profile. By combining the topological features along with miRNA-gene associations and gene propensity measures, we identified a set of genes and modules that are significant in CRC. The proposed methodology identified 123 significant modules of miRNA-genes that can be further studied for understanding the disease and marker discovery.","PeriodicalId":275098,"journal":{"name":"2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIBM.2010.5706588","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In this paper we present a global analysis of colon rectal cancer genes and their associated miRNAs. Significant genes in colon cancer were obtained by mining the literature and cancer related miRNAs were obtained from miRbase. Five different features were used to analyze to obtain a global gene-miRNA profile. By combining the topological features along with miRNA-gene associations and gene propensity measures, we identified a set of genes and modules that are significant in CRC. The proposed methodology identified 123 significant modules of miRNA-genes that can be further studied for understanding the disease and marker discovery.
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