Source:http://linkedlifedata.com/resource/pubmed/id/16837529
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
18
|
| pubmed:dateCreated |
2006-9-7
|
| pubmed:abstractText |
Identification of functional modules in protein interaction networks is a first step in understanding the organization and dynamics of cell functions. To ensure that the identified modules are biologically meaningful, network-partitioning algorithms should take into account not only topological features but also functional relationships, and identified modules should be rigorously validated.
|
| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:chemical | |
| pubmed:status |
MEDLINE
|
| pubmed:month |
Sep
|
| pubmed:issn |
1367-4811
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| pubmed:author | |
| pubmed:issnType |
Electronic
|
| pubmed:day |
15
|
| pubmed:volume |
22
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
2283-90
|
| pubmed:dateRevised |
2009-11-4
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| pubmed:meshHeading |
pubmed-meshheading:16837529-Algorithms,
pubmed-meshheading:16837529-Computer Simulation,
pubmed-meshheading:16837529-Gene Expression Profiling,
pubmed-meshheading:16837529-Models, Biological,
pubmed-meshheading:16837529-Oligonucleotide Array Sequence Analysis,
pubmed-meshheading:16837529-Protein Interaction Mapping,
pubmed-meshheading:16837529-Saccharomyces cerevisiae,
pubmed-meshheading:16837529-Saccharomyces cerevisiae Proteins,
pubmed-meshheading:16837529-Signal Transduction
|
| pubmed:year |
2006
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| pubmed:articleTitle |
Detecting functional modules in the yeast protein-protein interaction network.
|
| pubmed:affiliation |
Integrated Biomedical Science Graduate Program, Department of Biomedical Informatics and Department of Pharmacology, The Ohio State University 333 W. 10th Avenue, Columbus, OH 43210, USA.
|
| pubmed:publicationType |
Journal Article
|