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Gene Ontology (GO) mapping for network enrichment.
Gene Ontology (GO) mapping for network enrichment We downloaded the molecular function GO mappings from QuickGO [32, 33] database of EBI.
There were 16,110 of 16,603 identified genes eligible for network enrichment via GO Processes and Metabolic Networks analysis.
For network enrichment, the DEGs were overlaid onto a global molecular network (GMN) developed based on the Ingenuity Pathways Knowledge Base, in which functional relationships such as activation, chemical-protein interaction, expression, inhibition and regulation of binding were manually curated.
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The software described here provides useful resources both for exploring Reactome networks and for using them in network enrichment analyses.
A PPI network enrichment analysis was conducted for each of the modules.
As mentioned earlier, there are numerous tools available for network or enrichment analyses.
For 1,557 GFINs with defined CNVs, we calculated an odds ratio of cumulative network enrichment over all genes harbouring CNVs within the network.
Summary: The Network Ontology Analysis (NOA) plugin for Cytoscape implements the NOA algorithm for network-based enrichment analysis, which extends Gene Ontology annotations to network links, or edges.
Transcripts with existing BBH to a barley gene served as input for network analysis and enrichment analyses.
Functional and sub-network enrichment analysis provides an integrated approach for identifying networks underlying development.
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CEO of Professional Science Editing for Scientists @ prosciediting.com