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

fYear

2010

fDate

18-21 Dec. 2010

Firstpage

341

Lastpage

345

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/BIBM.2010.5706588

Filename

5706588