pubmed-article:19435510 | rdf:type | pubmed:Citation | lld:pubmed |
pubmed-article:19435510 | lifeskim:mentions | umls-concept:C1136031 | lld:lifeskim |
pubmed-article:19435510 | lifeskim:mentions | umls-concept:C0013138 | lld:lifeskim |
pubmed-article:19435510 | lifeskim:mentions | umls-concept:C0439064 | lld:lifeskim |
pubmed-article:19435510 | lifeskim:mentions | umls-concept:C0183185 | lld:lifeskim |
pubmed-article:19435510 | lifeskim:mentions | umls-concept:C0449445 | lld:lifeskim |
pubmed-article:19435510 | lifeskim:mentions | umls-concept:C0596020 | lld:lifeskim |
pubmed-article:19435510 | pubmed:dateCreated | 2009-6-17 | lld:pubmed |
pubmed-article:19435510 | pubmed:abstractText | The recently developed RNA interference (RNAi) technology has created an unprecedented opportunity which allows the function of individual genes in whole organisms or cell lines to be interrogated at genome-wide scale. However, multiple issues, such as off-target effects or low efficacies in knocking down certain genes, have produced RNAi screening results that are often noisy and that potentially yield both high rates of false positives and false negatives. Therefore, integrating RNAi screening results with other information, such as protein-protein interaction (PPI), may help to address these issues. | lld:pubmed |
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pubmed-article:19435510 | pubmed:language | eng | lld:pubmed |
pubmed-article:19435510 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:19435510 | pubmed:citationSubset | IM | lld:pubmed |
pubmed-article:19435510 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:19435510 | pubmed:issn | 1471-2164 | lld:pubmed |
pubmed-article:19435510 | pubmed:author | pubmed-author:WangLiL | lld:pubmed |
pubmed-article:19435510 | pubmed:author | pubmed-author:SunFengzhuF | lld:pubmed |
pubmed-article:19435510 | pubmed:author | pubmed-author:TuZhidongZ | lld:pubmed |
pubmed-article:19435510 | pubmed:issnType | Electronic | lld:pubmed |
pubmed-article:19435510 | pubmed:volume | 10 | lld:pubmed |
pubmed-article:19435510 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:19435510 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:19435510 | pubmed:pagination | 220 | lld:pubmed |
pubmed-article:19435510 | pubmed:dateRevised | 2009-11-18 | lld:pubmed |
pubmed-article:19435510 | pubmed:meshHeading | pubmed-meshheading:19435510... | lld:pubmed |
pubmed-article:19435510 | pubmed:meshHeading | pubmed-meshheading:19435510... | lld:pubmed |
pubmed-article:19435510 | pubmed:meshHeading | pubmed-meshheading:19435510... | lld:pubmed |
pubmed-article:19435510 | pubmed:meshHeading | pubmed-meshheading:19435510... | lld:pubmed |
pubmed-article:19435510 | pubmed:meshHeading | pubmed-meshheading:19435510... | lld:pubmed |
pubmed-article:19435510 | pubmed:meshHeading | pubmed-meshheading:19435510... | lld:pubmed |
pubmed-article:19435510 | pubmed:meshHeading | pubmed-meshheading:19435510... | lld:pubmed |
pubmed-article:19435510 | pubmed:year | 2009 | lld:pubmed |
pubmed-article:19435510 | pubmed:articleTitle | A network-based integrative approach to prioritize reliable hits from multiple genome-wide RNAi screens in Drosophila. | lld:pubmed |
pubmed-article:19435510 | pubmed:affiliation | Molecular and Computational Biology Program, University of Southern California, Los Angeles, CA 90089, USA. wang7@usc.edu | lld:pubmed |
pubmed-article:19435510 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:19435510 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
pubmed-article:19435510 | pubmed:publicationType | Research Support, N.I.H., Extramural | lld:pubmed |
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