Source:http://linkedlifedata.com/resource/pubmed/id/20439255
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
13
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pubmed:dateCreated |
2010-6-18
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pubmed:abstractText |
It is popular to explore meaningful molecular targets and infer new functions of genes through gene functional similarity measuring and gene functional network construction. However, little work is available in this field for microRNA (miRNA) genes due to limited miRNA functional annotations. With the rapid accumulation of miRNAs, it is increasingly needed to uncover their functional relationships in a systems level.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:chemical | |
pubmed:status |
MEDLINE
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pubmed:month |
Jul
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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 |
26
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
1644-50
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pubmed:meshHeading | |
pubmed:year |
2010
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pubmed:articleTitle |
Inferring the human microRNA functional similarity and functional network based on microRNA-associated diseases.
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pubmed:affiliation |
Department of Biomedical Informatics, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China.
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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