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- W2048045453 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." @default.
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- W2048045453 date "2006-01-01" @default.
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- W2048045453 title "A Network Partition Algorithm for Mining Gene Functional Modules of Colon Cancer from DNA Microarray Data" @default.
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- W2048045453 doi "https://doi.org/10.1016/s1672-0229(07)60005-9" @default.
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