<p>Enrichment of highly co-expressed interactions among sets of genes in the network was calculated using both the Gene Ontology (GO) standard as well as the MapMan (MM) standard using the Z-test. Interactions among random sets of genes with the same size as GO and MM were calculated and compared to empirical interactions showing that interaction densities in empirical data are stronger in both networks for both GO (<b>A</b>) and MM (<b>B</b>). Individual annotation terms are plotted against each other in each network (<b>C–D</b>) showing that certain terms are more represented in a single network (green and blue points) or represented by both networks (red points).</p
<p>Gene Ontology (GO) enrichment of the co-expressed gene clusters, indicated by counting the number...
<p>GO-enriched categories determined by ClueGo in (<b>A</b>) transcripts with zero or one predicted ...
<p>All known genes for the different disease groups were concurrently analyzed for matching terms in...
<p>Each node represents a different GO term, the size of the node relates to the level of enrichment...
<p>Gene ontology annotation enrichment was performed for the molecular function, cellular component,...
We listed below the basic information of the networks as well as exemplary studies that employed the...
<p>Network representations of enriched GO categories among the genes that were differentially regula...
<p>A clustered co-expression network derived from the complete co-expression network at a CLR thresh...
The nodes represent individual genes. The coloured lines linking the nodes represents the interactio...
<p>Interaction map was generated using default settings (Medium confidence of 0.4 and 7 criteria for...
<p>The differential genes in different interactomes were annotated in the context of the GO and KEGG...
The ability to model intragenic relationships using networks has allowed for the interpretation of c...
Network analyses, such as gene co-expression networks are an important approach for the systems-leve...
Similarities and differences in the associations of biological entities among species can provide us...
<p>DE genes in LR-STK4 cells that have known functional interactions were clustered based on their c...
<p>Gene Ontology (GO) enrichment of the co-expressed gene clusters, indicated by counting the number...
<p>GO-enriched categories determined by ClueGo in (<b>A</b>) transcripts with zero or one predicted ...
<p>All known genes for the different disease groups were concurrently analyzed for matching terms in...
<p>Each node represents a different GO term, the size of the node relates to the level of enrichment...
<p>Gene ontology annotation enrichment was performed for the molecular function, cellular component,...
We listed below the basic information of the networks as well as exemplary studies that employed the...
<p>Network representations of enriched GO categories among the genes that were differentially regula...
<p>A clustered co-expression network derived from the complete co-expression network at a CLR thresh...
The nodes represent individual genes. The coloured lines linking the nodes represents the interactio...
<p>Interaction map was generated using default settings (Medium confidence of 0.4 and 7 criteria for...
<p>The differential genes in different interactomes were annotated in the context of the GO and KEGG...
The ability to model intragenic relationships using networks has allowed for the interpretation of c...
Network analyses, such as gene co-expression networks are an important approach for the systems-leve...
Similarities and differences in the associations of biological entities among species can provide us...
<p>DE genes in LR-STK4 cells that have known functional interactions were clustered based on their c...
<p>Gene Ontology (GO) enrichment of the co-expressed gene clusters, indicated by counting the number...
<p>GO-enriched categories determined by ClueGo in (<b>A</b>) transcripts with zero or one predicted ...
<p>All known genes for the different disease groups were concurrently analyzed for matching terms in...