DocumentCode :
3491442
Title :
Context-specific miRNA regulation network predicts cancer prognosis
Author :
Zhou, Xionghui ; Liu, Juan ; Liu, Changning ; Rayner, Simon ; Liang, Fengji ; Ju, Jingfang ; Li, Yinghui ; Chen, Shanguang ; Xiong, Jianghui
Author_Institution :
Sch. of Comput. Sci., Wuhan Univ., Wuhan, China
fYear :
2011
fDate :
2-4 Sept. 2011
Firstpage :
225
Lastpage :
243
Abstract :
MicroRNAs can regulate hundreds of target genes and play a pivotal role in a broad range of biological process. However, relatively little is known about how these highly connected miRNAs-target networks are remodelled in the context of various diseases. Here we examine the dynamic alteration of context-specific miRNA regulation to determine whether modified microRNAs regulation on specific biological processes is a useful information source for predicting cancer prognosis. A new concept, Context-specific miRNA activity (CoMi activity) is introduced to describe the statistical difference between the expression level of a miRNA´s target genes and non-targets genes within a given gene set (context).
Keywords :
brain; cancer; feature extraction; genetics; medical computing; molecular biophysics; organic compounds; support vector machines; tumours; CoMi activity; T-test feature selection method; biological process; brain tumors; breast cancer; cancer prognosis; context-specific miRNA regulation network; disease; microarray gene expression profile; support vector machine classifier; target genes; Biological processes; Breast cancer; Context; Correlation; Metastasis; Tumors; context-specific microRNA activity; microRNA; microRNA Regulation Network; network biology; prognosis prediction; survival analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Biology (ISB), 2011 IEEE International Conference on
Conference_Location :
Zhuhai
Print_ISBN :
978-1-4577-1661-4
Electronic_ISBN :
978-1-4577-1665-2
Type :
conf
DOI :
10.1109/ISB.2011.6033159
Filename :
6033159
Link To Document :
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