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In contrast, under our sparsity prior, the modules we identify are identifiable (up to a sign-flip: the loadings on each factor can be multiplied by −1 without affecting its probability under the model, but this does not change which traits are associated with each factor).
Finally, from the gene modules we identify genes with specific association with either SCLC or NSCLC.
The modules we identify in C. elegans may be a general property of the nervous system, and, once identified, can be searched for in other species.
After partitioning the network into gene modules, we identify gene modules that have significant expression variation between lung cancer and normal lung tissues.
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We assessed the genetic overlap between these 7 morphologic QTLs and the yeast eQTL modules we identified.
Figure 2 shows the network with five highlighted subnetwork modules we identified (Louvain method [ 38]).
Moreover in each of these sub-networks (or functional modules) we identified some hub proteins.
In the 108 modules, we identified the 'hot links' that are essential for PCW synthesis.
As seen in Figure 5, the modules we identified contain genes which also appear co-expressed in Genevestigator.
By simplifying the gene expression data into modules, we identified groups of genes that are related to fear related behavior.
In our further evaluation of these modules, we identified several PrCa associated TFs and miRNAs as putative key regulators in PrCa genesis and progression.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com