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Author:

Ruan Xiao-Gang (Ruan Xiao-Gang.) | Wang Jin-Lian (Wang Jin-Lian.) | Li Jian-Geng (Li Jian-Geng.)

Indexed by:

PubMed

Abstract:

Computational analysis is essential for transforming the masses of microarray data into a mechanistic understanding of cancer. Here we present a method for finding gene functional modules of cancer from microarray data and have applied it to colon cancer. First, a colon cancer gene network and a normal colon tissue gene network were constructed using correlations between the genes. Then the modules that tended to have a homogeneous functional composition were identified by splitting up the network. Analysis of both networks revealed that they are scale-free. Comparison of the gene functional modules for colon cancer and normal tissues showed that the modules' functions changed with their structures.

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Author Community:

  • [ 1 ] [Ruan Xiao-Gang]Institute of Artificial Intelligence and Robotics, School of Electronic Information & Control Engineering, Beijing University of Technology, Beijing 100022, China

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Source :

Genomics, proteomics & bioinformatics

ISSN: 1672-0229

Year: 2006

Issue: 4

Volume: 4

Page: 245-52

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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