DocumentCode :
3460818
Title :
Mapping miRNA Regulation to Functional Gene Sets
Author :
Chen, Yidong ; Chen, Hung-I Harry ; Huang, Yufei
Author_Institution :
Dept. of Epidemiology & Biostat., Univ. of Texas Health Sci. Center at San Antonio San Antonio, San Antonio, TX, USA
fYear :
2009
fDate :
3-5 Aug. 2009
Firstpage :
122
Lastpage :
125
Abstract :
Distinct cellular functions and biological process of cells will likely be reflected in alteration in levels of genes as well as their regulatory components, such as the level of miRNAs. By employing systems biology approaches, we will be able to unambiguously identify the regulatory pathways and biological processes that are unique to specific disease states or responses to treatment. In this study, we propose an additive and weighted model to combine all possible miRNA target predictions to study the regulation change at a specific gene set, pathway or interaction network, rather than individual miRNA, enabling researchers to construct regulation hypothesis at pathway or interaction network level.
Keywords :
bioinformatics; cellular biophysics; diseases; genetics; organic compounds; cell biological process; disease; functional gene sets; gene interaction network; mapping miRNA regulation; miRNA target predictions; weighted model; Bayesian methods; Bioinformatics; Biological processes; Diseases; Gene expression; Humans; Intelligent systems; Prediction algorithms; Predictive models; Systems biology; gene regulation; miRNA; pathway analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics, Systems Biology and Intelligent Computing, 2009. IJCBS '09. International Joint Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3739-9
Type :
conf
DOI :
10.1109/IJCBS.2009.64
Filename :
5260723
Link To Document :
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