title: Using protein-semantic network metrics to evaluate functional coherence of protein groups.
abstract: Modern bioinformatics analyses of high throughput experiments often produce groups of proteins or genes of interest. Many metrics have been developed to evaluate the enrichment of proteins sharing similar functions within such groups. Commonly used evaluation using information of the Gene Ontology annotation has limitations. In this poster, we present the results of a research project to directly utilize the semantic information of biomedical literature for evaluating the functional coherence of protein groups.
authors.affiliation: Department of Biostatistics, Bioinformatics and Epidemiology, Medical University of South Carolina, Charleston, SC 29425, USA.
authors.forename: Bin
authors.initials: B
authors.lastname: Zheng
authors.forename: Xinghua
authors.initials: X
authors.lastname: Lu
mesh_terms: D019295:Computational Biology; D016239:MEDLINE; D011506:Proteins; D012660:Semantics
chemical_list: D011506:Proteins