| pubmed-article:18094754 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:18094754 | lifeskim:mentions | umls-concept:C0086418 | lld:lifeskim |
| pubmed-article:18094754 | lifeskim:mentions | umls-concept:C0018801 | lld:lifeskim |
| pubmed-article:18094754 | lifeskim:mentions | umls-concept:C1882071 | lld:lifeskim |
| pubmed-article:18094754 | lifeskim:mentions | umls-concept:C0205245 | lld:lifeskim |
| pubmed-article:18094754 | lifeskim:mentions | umls-concept:C1511726 | lld:lifeskim |
| pubmed-article:18094754 | lifeskim:mentions | umls-concept:C0017262 | lld:lifeskim |
| pubmed-article:18094754 | pubmed:issue | 12 | lld:pubmed |
| pubmed-article:18094754 | pubmed:dateCreated | 2007-12-20 | lld:pubmed |
| pubmed-article:18094754 | pubmed:abstractText | Gene expression profiling and the analysis of protein-protein interaction (PPI) networks may support the identification of disease bio-markers and potential drug targets. Thus, a step forward in the development of systems approaches to medicine is the integrative analysis of these data sources in specific pathological conditions. We report such an integrative bioinformatics analysis in human heart failure (HF). A global PPI network in HF was assembled, which by itself represents a useful compendium of the current status of human HF-relevant interactions. This provided the basis for the analysis of interaction connectivity patterns in relation to a HF gene expression data set. | lld:pubmed |
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| pubmed-article:18094754 | pubmed:language | eng | lld:pubmed |
| pubmed-article:18094754 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:18094754 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:18094754 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:18094754 | pubmed:issn | 1932-6203 | lld:pubmed |
| pubmed-article:18094754 | pubmed:author | pubmed-author:AzuajeFrancis... | lld:pubmed |
| pubmed-article:18094754 | pubmed:author | pubmed-author:CamargoAnyela... | lld:pubmed |
| pubmed-article:18094754 | pubmed:issnType | Electronic | lld:pubmed |
| pubmed-article:18094754 | pubmed:volume | 2 | lld:pubmed |
| pubmed-article:18094754 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:18094754 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:18094754 | pubmed:pagination | e1347 | lld:pubmed |
| pubmed-article:18094754 | pubmed:dateRevised | 2009-11-18 | lld:pubmed |
| pubmed-article:18094754 | pubmed:meshHeading | pubmed-meshheading:18094754... | lld:pubmed |
| pubmed-article:18094754 | pubmed:meshHeading | pubmed-meshheading:18094754... | lld:pubmed |
| pubmed-article:18094754 | pubmed:meshHeading | pubmed-meshheading:18094754... | lld:pubmed |
| pubmed-article:18094754 | pubmed:meshHeading | pubmed-meshheading:18094754... | lld:pubmed |
| pubmed-article:18094754 | pubmed:year | 2007 | lld:pubmed |
| pubmed-article:18094754 | pubmed:articleTitle | Linking gene expression and functional network data in human heart failure. | lld:pubmed |
| pubmed-article:18094754 | pubmed:affiliation | School of Computing and Mathematics, University of Ulster at Jordanstown, Newtownabbey, Northern Ireland, United Kingdom. | lld:pubmed |
| pubmed-article:18094754 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:18094754 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
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