A Network Partition Algorithm for Mining Gene Functional Modules of Colon Cancer from DNA Microarray Data

• Published in: Genomics, proteomics & bioinformatics Vol. 4; no. 4; pp. 245 - 252
• Main Authors: Ruan, Xiao-Gang, Wang, Jin-Lian, Li, Jian-Geng
• Format: Journal Article
• Language: English
• Published: China Elsevier Ltd 2006; Institute of Artificial Intelligence and Robotics, School of Electronic Information & Control Engineering, Beijing University of Technology, Beijing 100022, China; Elsevier
• Subjects: Algorithms; colon cancer; Colonic Neoplasms - metabolism; DNA microarray data; gene functional module; Gene Regulatory Networks; GN algorithm; Humans; Method; Oligonucleotide Array Sequence Analysis - methods; gene functional module; GN algorithm; colon cancer; DNA microarray data
• ISSN: 1672-0229; 2210-3244
• DOI: 10.1016/S1672-0229(07)60005-9

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.