Source:http://linkedlifedata.com/resource/pubmed/id/18187439
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
5
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pubmed:dateCreated |
2008-2-29
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pubmed:abstractText |
The increasing diversity and variable quality of evidence relevant to gene annotation argues for a probabilistic framework that automatically integrates such evidence to yield candidate gene models.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Mar
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pubmed:issn |
1367-4811
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pubmed:author | |
pubmed:issnType |
Electronic
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pubmed:day |
1
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pubmed:volume |
24
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
597-605
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pubmed:dateRevised |
2009-11-4
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pubmed:meshHeading |
pubmed-meshheading:18187439-Animals,
pubmed-meshheading:18187439-Automation,
pubmed-meshheading:18187439-Database Management Systems,
pubmed-meshheading:18187439-Databases, Genetic,
pubmed-meshheading:18187439-Genome,
pubmed-meshheading:18187439-Humans,
pubmed-meshheading:18187439-Likelihood Functions,
pubmed-meshheading:18187439-Models, Genetic
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pubmed:year |
2008
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pubmed:articleTitle |
Evigan: a hidden variable model for integrating gene evidence for eukaryotic gene prediction.
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pubmed:affiliation |
Department of Computer and Information Science, University of Pennsylvania, Philadelphia PA 19104, USA. qianliu@seas.upenn.edu
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pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, Non-P.H.S.,
Research Support, Non-U.S. Gov't,
Research Support, N.I.H., Extramural
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