DocumentCode :
2987169
Title :
A Research for Weighted Gene Co-expression Network Model
Author :
Jun Wang ; Weiping Wang ; Wen Liu ; Zhong Zhou ; Xiaoying Wang
Author_Institution :
Inst. of Sci., Huazhong Agric. Univ., Wuhan, China
fYear :
2012
fDate :
7-9 Dec. 2012
Firstpage :
770
Lastpage :
773
Abstract :
In recent years, there is an incredible growth of network methods to explore functionality of genes from the system level. However, most researchers are focused on the unweighted networks. In this paper, a new weighted networks method is established. To evaluate the efficiency of the method, application of the method to screen diabetic candidate pathogenic gene and module recognition are also given.
Keywords :
biology computing; complex networks; genetics; diabetic candidate pathogenic gene; module recognition; system level; unweighted networks; weighted gene co-expression network model; Correlation; Diabetes; Educational institutions; Gene expression; Network topology; Topology; high quality network; scale-free topology; weighted network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Engineering and Communication Technology (ICCECT), 2012 International Conference on
Conference_Location :
Liaoning
Print_ISBN :
978-1-4673-4499-9
Type :
conf
DOI :
10.1109/ICCECT.2012.245
Filename :
6413997
Link To Document :
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