Sentence examples for multiple gene modules from inspiring English sources

For each type of module, we selected genes which were identified as being highly used (i.e. one gene involved in multiple gene modules) as representative of the whole set (Methods).

(1) Identification of highly represented genes in gatekeeper and checkpoint modules As the gene modules were created from relationships defined in ontologies, protein interaction networks, pathways and miRNA targets, individual genes will, in general, be present in multiple gene modules.

For example, Zhang et al. report multiple gene modules associated with approximately 21 different genomic regions.

Historically, identification has been approached starting with frequent single genes to pathways, followed by the identification of multiple gene modules.

We identified 49 human miRNA-gene regulatory comodules, each one composed of multiple miRNAs (the miRNA module) and multiple genes (the gene module).

As GFlasso tends to focus on pleiotropic effects by combining information across multiple genes in the gene network, it discovered the additive effect of multiple genomic regions on gene modules.

Thus, this structured association analysis of a yeast eQTL dataset via GFlasso, coupled with extensive bioinformatics analysis, discovers a novel regulation pattern between multiple eQTL hotspots and functional gene modules.

The jActiveModules (Version 1.8) is a widely used method for identifying active modules integrating multiple gene differential expression datasets.

In order to assess the effectiveness of the proposed algorithm on extracting biological modules from multiple gene coexpression graphs, we performed an experimental evaluation of the algorithm using multiple human gene expression datasets.

In this paper, instead of clustering the summary graph and then extracting the highly co-occurring edge sets as in CODENSE [ 4] or mining biclusters then finding (highly -connected components ([ 7, 8]), we propose an algorithighly -connectedng of modules from multiple gene expression datasets.

Direct binding of these TFs to multiple gene promoters from the same module is a strong indication that the Wigwams algorithm is detecting dependent co-expression reflecting co-regulation.