by Bin Zheng, Xinghua Lu
Abstract:
We present the metrics for assessing overall functional coherence of a group of proteins based on associated biomedical literature. A probabilistic topic model is applied to extract biologic concepts from a corpus of protein-related biomedical literature. Bipartite protein semantic networks are constructed, so that the functional coherence of a protein group can be evaluated with metrics that measure the closeness and strength of connectivity of the proteins in the network.
Reference:
Novel metrics for evaluating the functional coherence of protein groups via protein semantic network. (Bin Zheng, Xinghua Lu), In Genome biology, volume 8, 2007.
Bibtex Entry:
@article{Zheng2007,
abstract = {We present the metrics for assessing overall functional coherence of a group of proteins based on associated biomedical literature. A probabilistic topic model is applied to extract biologic concepts from a corpus of protein-related biomedical literature. Bipartite protein semantic networks are constructed, so that the functional coherence of a protein group can be evaluated with metrics that measure the closeness and strength of connectivity of the proteins in the network.},
author = {Zheng, Bin and Lu, Xinghua},
doi = {10.1186/gb-2007-8-7-r153},
issn = {1465-6914},
journal = {Genome biology},
keywords = {Animals,Computational Biology,Computational Biology: methods,GO sim,Humans,Proteins,Proteins: chemistry,Proteins: physiology,SML-LIB-BIBLIO,Semantics,lang:ENG},
mendeley-tags = {GO sim,SML-LIB-BIBLIO,lang:ENG},
month = jan,
number = {7},
pages = {R153},
pmid = {17672896},
title = {{Novel metrics for evaluating the functional coherence of protein groups via protein semantic network.}},
url = {http://www.ncbi.nlm.nih.gov/pubmed/17672896},
volume = {8},
year = {2007}
}