pubmed-article:17963500 | rdf:type | pubmed:Citation | lld:pubmed |
pubmed-article:17963500 | lifeskim:mentions | umls-concept:C0017428 | lld:lifeskim |
pubmed-article:17963500 | lifeskim:mentions | umls-concept:C0872079 | lld:lifeskim |
pubmed-article:17963500 | lifeskim:mentions | umls-concept:C2911685 | lld:lifeskim |
pubmed-article:17963500 | lifeskim:mentions | umls-concept:C0449255 | lld:lifeskim |
pubmed-article:17963500 | lifeskim:mentions | umls-concept:C1705938 | lld:lifeskim |
pubmed-article:17963500 | lifeskim:mentions | umls-concept:C1527178 | lld:lifeskim |
pubmed-article:17963500 | pubmed:dateCreated | 2008-2-8 | lld:pubmed |
pubmed-article:17963500 | pubmed:abstractText | Although many genomic features have been used in the prediction of protein-protein interactions (PPIs), frequently only one is used in a computational method. After realizing the limited power in the prediction using only one genomic feature, investigators are now moving toward integration. So far, there have been few integration studies for PPI prediction; one failed to yield appreciable improvement of prediction and the others did not conduct performance comparison. It remains unclear whether an integration of multiple genomic features can improve the PPI prediction and, if it can, how to integrate these features. | lld:pubmed |
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pubmed-article:17963500 | pubmed:language | eng | lld:pubmed |
pubmed-article:17963500 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:17963500 | pubmed:citationSubset | IM | lld:pubmed |
pubmed-article:17963500 | pubmed:chemical | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:17963500 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:17963500 | pubmed:issn | 1471-2105 | lld:pubmed |
pubmed-article:17963500 | pubmed:author | pubmed-author:IpN YNY | lld:pubmed |
pubmed-article:17963500 | pubmed:author | pubmed-author:LUES CSC | lld:pubmed |
pubmed-article:17963500 | pubmed:author | pubmed-author:WangChuanC | lld:pubmed |
pubmed-article:17963500 | pubmed:author | pubmed-author:ZhaoZhongming... | lld:pubmed |
pubmed-article:17963500 | pubmed:author | pubmed-author:LiYixueY | lld:pubmed |
pubmed-article:17963500 | pubmed:author | pubmed-author:SunJingchunJ | lld:pubmed |
pubmed-article:17963500 | pubmed:author | pubmed-author:ShiTieliuT | lld:pubmed |
pubmed-article:17963500 | pubmed:author | pubmed-author:DingGuohuiG | lld:pubmed |
pubmed-article:17963500 | pubmed:author | pubmed-author:HeYouyuY | lld:pubmed |
pubmed-article:17963500 | pubmed:issnType | Electronic | lld:pubmed |
pubmed-article:17963500 | pubmed:volume | 8 | lld:pubmed |
pubmed-article:17963500 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:17963500 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:17963500 | pubmed:pagination | 414 | lld:pubmed |
pubmed-article:17963500 | pubmed:dateRevised | 2009-11-18 | lld:pubmed |
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pubmed-article:17963500 | pubmed:year | 2007 | lld:pubmed |
pubmed-article:17963500 | pubmed:articleTitle | InPrePPI: an integrated evaluation method based on genomic context for predicting protein-protein interactions in prokaryotic genomes. | lld:pubmed |
pubmed-article:17963500 | pubmed:affiliation | Virginia Institute for Psychiatric and Behavioral Genetics and Department of Psychiatry, Virginia Commonwealth University, Richmond, VA 23298, USA. jsun@vcu.edu | lld:pubmed |
pubmed-article:17963500 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:17963500 | pubmed:publicationType | Comparative Study | lld:pubmed |
pubmed-article:17963500 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
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