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Novel metrics for evaluating the functional coherence of protein groups via protein semantic network
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 cons...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2323239/ https://www.ncbi.nlm.nih.gov/pubmed/17672896 http://dx.doi.org/10.1186/gb-2007-8-7-r153 |
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author | Zheng, Bin Lu, Xinghua |
author_facet | Zheng, Bin Lu, Xinghua |
author_sort | Zheng, Bin |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-2323239 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-23232392008-04-21 Novel metrics for evaluating the functional coherence of protein groups via protein semantic network Zheng, Bin Lu, Xinghua Genome Biol Method 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. BioMed Central 2007 2007-07-31 /pmc/articles/PMC2323239/ /pubmed/17672896 http://dx.doi.org/10.1186/gb-2007-8-7-r153 Text en Copyright © 2007 Zheng and Lu; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Method Zheng, Bin Lu, Xinghua Novel metrics for evaluating the functional coherence of protein groups via protein semantic network |
title | Novel metrics for evaluating the functional coherence of protein groups via protein semantic network |
title_full | Novel metrics for evaluating the functional coherence of protein groups via protein semantic network |
title_fullStr | Novel metrics for evaluating the functional coherence of protein groups via protein semantic network |
title_full_unstemmed | Novel metrics for evaluating the functional coherence of protein groups via protein semantic network |
title_short | Novel metrics for evaluating the functional coherence of protein groups via protein semantic network |
title_sort | novel metrics for evaluating the functional coherence of protein groups via protein semantic network |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2323239/ https://www.ncbi.nlm.nih.gov/pubmed/17672896 http://dx.doi.org/10.1186/gb-2007-8-7-r153 |
work_keys_str_mv | AT zhengbin novelmetricsforevaluatingthefunctionalcoherenceofproteingroupsviaproteinsemanticnetwork AT luxinghua novelmetricsforevaluatingthefunctionalcoherenceofproteingroupsviaproteinsemanticnetwork |