A network partition algorithm for mining gene functional modules of colon cancer from DNA microarray data.

Genomics Proteomics Bioinformatics

Institute of Artificial Intelligence and Robotics, School of Electronic Information & Control Engineering, Beijing University of Technology, Beijing 100022, China.

Published: November 2006

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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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054076PMC
http://dx.doi.org/10.1016/S1672-0229(07)60005-9DOI Listing

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