Title :
Global analysis of miRNA target genes in colon rectal cancer
Author :
Pradhan, Meeta ; Ledford, Lakenvia ; Pandit, Yogesh ; Palakal, Mathew
Author_Institution :
Sch. of Inf., Indiana Univ.-Purdue Univ., Indianapolis, IN, USA
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.
Keywords :
bioinformatics; biological tissues; cancer; data mining; database management systems; genetics; genomics; information retrieval; macromolecules; colon rectal cancer; disease; gene expression; gene propensity; literature mining; miRNA target genes; miRbase; topological features; Asynchronous transfer mode; Bioinformatics; Breast cancer; Colon; Gene expression; Humans; Literature Mining; Networks; miRNA;
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2010 IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-8306-8
Electronic_ISBN :
978-1-4244-8307-5
DOI :
10.1109/BIBM.2010.5706588
