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Genes that share transcription factors are biologically driven to show a more likely measurable correlation in their gene expression. No modern method of visualization displays these intricate co-expression and correlation patterns better than a graph. Structural observations about a co-expression graph can reveal the secrets of the biological system that it models, but experimentally validated co-expression...
Understanding regulation mechanism of gene expression is the kernel of system biology. Reconstructing genetic regulation network from real gene expression microarray data has draw a lot of attention. Two basic problems for reconstructing genetic regulation network: the network topology and reconstructing method are detailed discussed in this paper. Some possible improved algorithms are proposed.
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