Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2008-9-16
pubmed:abstractText
Biological systems can be modeled as complex network systems with many interactions between the components. These interactions give rise to the function and behavior of that system. For example, the protein-protein interaction network is the physical basis of multiple cellular functions. One goal of emerging systems biology is to analyze very large complex biological networks such as protein-protein interaction networks, metabolic networks, and regulatory networks to identify functional modules and assign functions to certain components of the system. Network modules do not occur by chance, so identification of modules is likely to capture the biologically meaningful interactions in large-scale PPI data. Unfortunately, existing computer-based clustering methods developed to find those modules are either not so accurate or too slow.
pubmed:grant
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/18793464-10688190, http://linkedlifedata.com/resource/pubmed/commentcorrection/18793464-11034217, http://linkedlifedata.com/resource/pubmed/commentcorrection/18793464-11258382, http://linkedlifedata.com/resource/pubmed/commentcorrection/18793464-11283351, http://linkedlifedata.com/resource/pubmed/commentcorrection/18793464-12089522, http://linkedlifedata.com/resource/pubmed/commentcorrection/18793464-14605208, http://linkedlifedata.com/resource/pubmed/commentcorrection/18793464-14704431, http://linkedlifedata.com/resource/pubmed/commentcorrection/18793464-14735121, http://linkedlifedata.com/resource/pubmed/commentcorrection/18793464-14960460, http://linkedlifedata.com/resource/pubmed/commentcorrection/18793464-15048975, http://linkedlifedata.com/resource/pubmed/commentcorrection/18793464-15180928, http://linkedlifedata.com/resource/pubmed/commentcorrection/18793464-15374873, http://linkedlifedata.com/resource/pubmed/commentcorrection/18793464-15729348, http://linkedlifedata.com/resource/pubmed/commentcorrection/18793464-9623998
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1471-2105
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
9 Suppl 9
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
S19
pubmed:dateRevised
2009-11-18
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
A structural approach for finding functional modules from large biological networks.
pubmed:affiliation
Department of Applied Science, University of Arkansas at Little Rock, Little Rock, Arkansas, USA. mxmete@ualr.edu
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural