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This shows that our approach of using contextual gene sets can be more proper in identifying condition-specific gene set interactions than using conventional biclusters.
However, due to the high count of variants per-genome, an even larger number of potential variant set interactions, and relatively low levels of experimental annotation, variant interpretation is still severely limited.
The transcription network reported by Luscombe et al. [ 6] has 142 TFs and 7074 interactions, of which we disregard 21 "self-loop" interactions of the remainder 254 are TF to TF; we use ITF to denote the latter set (interactions to transcription factors).
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Each resultant contextual gene set interaction network shows both cancer-generic and subtype-specific interactions.
We detected a significant TE-by-'gene set' interaction at the 0.1 level (p = 0.085).
Contextual gene set interaction networks were built with tissue/phenotype/genotype-specificities.
We also identified a contextual gene set interaction network from the gene expression data of TCGA GBM.
The effect of genotypes (RILs) was tested either against global residual or against genotype x set interaction when significant.
The resultant contextual gene set interaction networks with specificities showed different interaction patterns across conditions, and they provided new hypotheses as well as consistency with previous studies.
A similar relationship was observed for the verification data set (see Fig 3B) and the combined data set (interaction p = 0.0158; Fig 4A).
From the contextual gene set interaction network in Figure 4-I, contextual gene sets with only interactions specific to a tissue type T k were declared as T k -centric contextual gene sets.
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CEO of Professional Science Editing for Scientists @ prosciediting.com