Source:http://linkedlifedata.com/resource/pubmed/id/20356386
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:dateCreated |
2010-4-19
|
| pubmed:abstractText |
Gene clustering for annotating gene functions is one of the fundamental issues in bioinformatics. The best clustering solution is often regularized by multiple constraints such as gene expressions, Gene Ontology (GO) annotations and gene network structures. How to integrate multiple pieces of constraints for an optimal clustering solution still remains an unsolved problem.
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| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:status |
MEDLINE
|
| pubmed:issn |
1471-2105
|
| pubmed:author | |
| pubmed:issnType |
Electronic
|
| pubmed:volume |
11
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
164
|
| pubmed:dateRevised |
2011-5-23
|
| pubmed:meshHeading |
pubmed-meshheading:20356386-Algorithms,
pubmed-meshheading:20356386-Cluster Analysis,
pubmed-meshheading:20356386-Databases, Genetic,
pubmed-meshheading:20356386-Gene Expression Profiling,
pubmed-meshheading:20356386-Likelihood Functions,
pubmed-meshheading:20356386-Multigene Family,
pubmed-meshheading:20356386-Pattern Recognition, Automated
|
| pubmed:year |
2010
|
| pubmed:articleTitle |
Multiconstrained gene clustering based on generalized projections.
|
| pubmed:affiliation |
School of Computer Science and Technology, Soochow University, Suzhou 215006, China. j.zeng@ieee.org
|
| pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
|