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To extract additional biologically relevant information, we applied weighted gene co-expression correlation network analysis (WGCNA) to identify gene modules with similar variation across in vitro and in vivo samples and identified overall 23 modules (Supplementary Fig. 7, Supplementary Data 1).
In cases of shaded modules with similar levels of solar insolation, PV curve peaks occur nearly around multiple of 80%% of Voc.
Huang et al. used drug genomic profiles from the Connectivity Map database to construct a drug functional network and then grouped drugs into modules with similar transcriptional responses [62].
Same conclusions apply to other signal transduction modules with similar kinetic structures.
We connected recurrent modules with similar expression patterns and plotted the resulting network using a spring-embedded layout algorithm (Figure 4).
Since transcription factors usually co-regulate a common group of genes by forming regulatory modules with similar TFBSs.
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For PFC, around 1800 spots were detected and 1300 spots were included for BVA module with similar protein exclusion filters (Area<250; Max Peak<200; Max Volume<25,000; Max Slope>1.5).
We identified subclusters of the core response module with similar expression patterns using hierarchical clustering (Euclidean distance, complete linkage) and chose to divide the core response module into four subclusters based on visual observation of the cluster dendrogram (Figure 5A).
This modular approach unifies all disease-specific instruments of QLICDs using the same general module with similar constructs.
Although BioEdit also includes a module with similar formula in computing entropy values for aligned sequences, we chose to develop our own software for more streamlined data manipulation and subsequent analysis and interpretation.
Furthermore a network is constructed by selecting a large number of gene pairs based on FDR analysis and the clustering of the network generates many modules rich with similar function genes.
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