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In particular, we identified a module that is predominately activated in breast cancer and is involved in tumor suppression.
We identified a module which may be associated with direct nutrient transport, signal transduction and regulation in nutrient deficiency conditions in rice.
We identified a module of genes whose expression correlated with levels of alanine aminotransferase, class II donor-specific antibody, portal inflammation, interface activity, perivenular inflammation, portal and perivenular fibrosis, and cluster assignment.
We identified a module that contains 128 interconnected proteins of which 124 are encoded by up-regulated genes during sporangium formation.
In summary, this study has identified a module that was previously undescribed in ESCs and mediates a switch from naive to primed pluripotent states.
Our network analysis identified a module that was highly related to atherosclerosis in the IA and this module was highly enriched for genes in activated macrophages and spleen.
Similar(47)
For each dataset we used each method to identify a module (or a set of genes for t-test) that is up-regulated, down-regulated or differentially expressed in the cases compared to the controls.
For three datasets (SLE, LESNICK-PD and ASTHMA) we found that all the methods failed to identify a module that overlapped with the KEGG pathway (as we show later, in at least one of those cases (LESNICK-PD) we identify multiple potential biological insights from the DEGAS module).
Finally, our method identifies a module including RB1 and a metagene DKK1/PRKG1/CSTF2T significant at p1 <0.001 and p2 = 0.02 levels.
Using Weighted Gene Analysisssion NetWGCNAAnalysis (weCNA) we identify a module (group) of highly related transcripts, correlated with IA lesion size.
After we identify a module, we deflate the matrix by subtracting the signal of current set of loadings and latent variables from the data matrices.
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CEO of Professional Science Editing for Scientists @ prosciediting.com