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The low-rank matrix found more functional modules than the original matrix (Table 2).
These are used to study whether a previously selected list of genes of interest is significantly enriched in one or more functional modules.
This aspect is also beneficial as a gene may belong to two or more functional modules expressed over different subsets of experimental conditions.
If ω becomes larger and p is decreased, the post-processing removes more clusters, so the remaining high-quality clusters can precisely match functional modules, but more functional modules could not be identified.
On the other hand, less ω and larger p result in more clusters, so the resulting clusters can identify more functional modules; however, the result contains relatively redundant and low-quality clusters, so a number of resulting clusters cannot precisely match functional modules.
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Our analysis of the yeast Sacchromyces cerevisiae suggests that most of the detected modules correspond to one or more experimentally functional modules and half of these annotated modules match well with experimentally determined protein complexes.
The challenging task was to unify the two types of data in a manner that would lead to more valid functional modules.
Firstly we elucidate the integration of PPI and gene expression data and the reasons why this procedure can lead to biologically more meaningful functional modules.
Previous studies showed that such rank-based co-expression network can produce biologically more meaningful functional modules, especially for gene modules that are weakly co-expressed or conditionally co-expressed [ 37].
In this more realistic scenario, functional modules with a coherence index that makes them undistinguishable from functionally unrelated gene modules would be excluded from a functional analysis, thus increasing the power of any test in the process of adjustment for multiple testing.
The KEGG database provides classifications of functionally identified genes of available genomes and presents them as more than 100 functional modules, "reference pathway maps".
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