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| pubmed-article:21722407 | pubmed:dateCreated | 2011-7-25 | lld:pubmed |
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| pubmed-article:21722407 | pubmed:abstractText | Gene set analysis (GSA) has become a successful tool to interpret gene expression profiles in terms of biological functions, molecular pathways, or genomic locations. GSA performs statistical tests for independent microarray samples at the level of gene sets rather than individual genes. Nowadays, an increasing number of microarray studies are conducted to explore the dynamic changes of gene expression in a variety of species and biological scenarios. In these longitudinal studies, gene expression is repeatedly measured over time such that a GSA needs to take into account the within-gene correlations in addition to possible between-gene correlations. | lld:pubmed |
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| pubmed-article:21722407 | pubmed:language | eng | lld:pubmed |
| pubmed-article:21722407 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:21722407 | pubmed:citationSubset | IM | lld:pubmed |
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| pubmed-article:21722407 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:21722407 | pubmed:issn | 1471-2105 | lld:pubmed |
| pubmed-article:21722407 | pubmed:author | pubmed-author:WangHaiyanH | lld:pubmed |
| pubmed-article:21722407 | pubmed:author | pubmed-author:ZhangKeK | lld:pubmed |
| pubmed-article:21722407 | pubmed:author | pubmed-author:DengYoupingY | lld:pubmed |
| pubmed-article:21722407 | pubmed:author | pubmed-author:PiephoHans-Pe... | lld:pubmed |
| pubmed-article:21722407 | pubmed:author | pubmed-author:BathkeArne... | lld:pubmed |
| pubmed-article:21722407 | pubmed:author | pubmed-author:HarrarSolomon... | lld:pubmed |
| pubmed-article:21722407 | pubmed:copyrightInfo | © 2011 Zhang et al; licensee BioMed Central Ltd. | lld:pubmed |
| pubmed-article:21722407 | pubmed:issnType | Electronic | lld:pubmed |
| pubmed-article:21722407 | pubmed:volume | 12 | lld:pubmed |
| pubmed-article:21722407 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:21722407 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:21722407 | pubmed:pagination | 273 | lld:pubmed |
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| pubmed-article:21722407 | pubmed:meshHeading | pubmed-meshheading:21722407... | lld:pubmed |
| pubmed-article:21722407 | pubmed:year | 2011 | lld:pubmed |
| pubmed-article:21722407 | pubmed:articleTitle | Gene set analysis for longitudinal gene expression data. | lld:pubmed |
| pubmed-article:21722407 | pubmed:affiliation | School of Medicine & Health Sciences, University of North Dakota, Grand Forks, ND 58202, USA. ke.zhang@med.und.edu | lld:pubmed |
| pubmed-article:21722407 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:21722407 | pubmed:publicationType | Research Support, N.I.H., Extramural | lld:pubmed |
