pubmed-article:20696049 | rdf:type | pubmed:Citation | lld:pubmed |
pubmed-article:20696049 | lifeskim:mentions | umls-concept:C0025663 | lld:lifeskim |
pubmed-article:20696049 | lifeskim:mentions | umls-concept:C1834582 | lld:lifeskim |
pubmed-article:20696049 | lifeskim:mentions | umls-concept:C0039286 | lld:lifeskim |
pubmed-article:20696049 | lifeskim:mentions | umls-concept:C1101610 | lld:lifeskim |
pubmed-article:20696049 | lifeskim:mentions | umls-concept:C0683312 | lld:lifeskim |
pubmed-article:20696049 | lifeskim:mentions | umls-concept:C0936012 | lld:lifeskim |
pubmed-article:20696049 | lifeskim:mentions | umls-concept:C0745732 | lld:lifeskim |
pubmed-article:20696049 | lifeskim:mentions | umls-concept:C1555713 | lld:lifeskim |
pubmed-article:20696049 | lifeskim:mentions | umls-concept:C0333668 | lld:lifeskim |
pubmed-article:20696049 | pubmed:dateCreated | 2010-8-23 | lld:pubmed |
pubmed-article:20696049 | pubmed:abstractText | MicroRNAs (miRNAs) are a class of important gene regulators. The number of identified miRNAs has been increasing dramatically in recent years. An emerging major challenge is the interpretation of the genome-scale miRNA datasets, including those derived from microarray and deep-sequencing. It is interesting and important to know the common rules or patterns behind a list of miRNAs, (i.e. the deregulated miRNAs resulted from an experiment of miRNA microarray or deep-sequencing). | lld:pubmed |
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pubmed-article:20696049 | pubmed:language | eng | lld:pubmed |
pubmed-article:20696049 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:20696049 | pubmed:citationSubset | IM | lld:pubmed |
pubmed-article:20696049 | pubmed:chemical | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:20696049 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:20696049 | pubmed:issn | 1471-2105 | lld:pubmed |
pubmed-article:20696049 | pubmed:author | pubmed-author:ElfatihMM | lld:pubmed |
pubmed-article:20696049 | pubmed:author | pubmed-author:ISEM SMS | lld:pubmed |
pubmed-article:20696049 | pubmed:author | pubmed-author:ShiBingB | lld:pubmed |
pubmed-article:20696049 | pubmed:author | pubmed-author:WangJuanJ | lld:pubmed |
pubmed-article:20696049 | pubmed:author | pubmed-author:CuiQinghuaQ | lld:pubmed |
pubmed-article:20696049 | pubmed:issnType | Electronic | lld:pubmed |
pubmed-article:20696049 | pubmed:volume | 11 | lld:pubmed |
pubmed-article:20696049 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:20696049 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:20696049 | pubmed:pagination | 419 | lld:pubmed |
pubmed-article:20696049 | pubmed:meshHeading | pubmed-meshheading:20696049... | lld:pubmed |
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pubmed-article:20696049 | pubmed:year | 2010 | lld:pubmed |
pubmed-article:20696049 | pubmed:articleTitle | TAM: a method for enrichment and depletion analysis of a microRNA category in a list of microRNAs. | lld:pubmed |
pubmed-article:20696049 | pubmed:affiliation | Department of Biomedical Informatics, Peking University Health Science Center, Beijing, 100191, China. | lld:pubmed |
pubmed-article:20696049 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:20696049 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |