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We also used the popular partitioning method K-means and the graph-based module identification algorithm MCODE to identify modules from the GSE2109_breast dataset.
For comparison, we included the popular K-means clustering algorithm and a graph-based module identification algorithm MCODE in the study.
We developed a method, called Heat-Inducible Module Identification Algorithm (HIMIA), for reconstructing GRMs of heat shock response in yeast by integrating current ChIP-chip, mutant, TFBS, and time series gene expression data.
Integrating transcription factor binding site (TFBS), mutant, ChIP-chip, and heat shock time series gene expression data, we develop a method, called Heat-Inducible Module Identification Algorithm (HIMIA), for reconstructing GRMs of yeast heat shock response.
By combining current transcription factor binding site (TFBS) [ 19, 20], mutant [ 20], ChIP-chip [ 21], and heat shock time series gene expression data [ 18], we developed a module inference method, called Heat-Inducible Module Identification Algorithm (HIMIA), to reconstruct heat-inducible GRMs in yeast (see Figure 1).
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There are many module identification algorithms for complex networks, but only a few integrate both the edge weights and node weights.
However, since the average size of gold standard are roughly equal in different networks and high-quality clusters are rarer in a sparser network, a functional modules identification algorithm should have lower coverage and produce less and roughly equal-size clusters on a sparser network.
As most functional modules identification algorithms produce small clusters which can be identified as high-level (specific) GO terms, we aim to evaluate the results only based on high-level GO terms.
For functional module identification, single network clustering algorithms may not yield accurate and robust results.
Then, a new numerical optimization approach about product module identification, which used improved harmony search algorithm, is presented in this paper.
We note that other clustering algorithms, e.g. a hierarchical clustering algorithm [ 16], can also be used in our module identification method.
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