| pubmed-article:17428341 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:17428341 | lifeskim:mentions | umls-concept:C0028263 | lld:lifeskim |
| pubmed-article:17428341 | lifeskim:mentions | umls-concept:C0441889 | lld:lifeskim |
| pubmed-article:17428341 | lifeskim:mentions | umls-concept:C1511726 | lld:lifeskim |
| pubmed-article:17428341 | lifeskim:mentions | umls-concept:C0449851 | lld:lifeskim |
| pubmed-article:17428341 | lifeskim:mentions | umls-concept:C1709016 | lld:lifeskim |
| pubmed-article:17428341 | pubmed:dateCreated | 2007-4-24 | lld:pubmed |
| pubmed-article:17428341 | pubmed:abstractText | Microarray gene expression data are commonly perceived as being extremely noisy because of many imperfections inherent in the current technology. A recent study conducted by the MicroArray Quality Control (MAQC) Consortium and published in Nature Biotechnology provides a unique opportunity to probe into the true level of technical noise in such data. | lld:pubmed |
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| pubmed-article:17428341 | pubmed:language | eng | lld:pubmed |
| pubmed-article:17428341 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:17428341 | pubmed:status | PubMed-not-MEDLINE | lld:pubmed |
| pubmed-article:17428341 | pubmed:issn | 1745-6150 | lld:pubmed |
| pubmed-article:17428341 | pubmed:author | pubmed-author:YakovlevAndre... | lld:pubmed |
| pubmed-article:17428341 | pubmed:author | pubmed-author:KlebanovLevL | lld:pubmed |
| pubmed-article:17428341 | pubmed:issnType | Electronic | lld:pubmed |
| pubmed-article:17428341 | pubmed:volume | 2 | lld:pubmed |
| pubmed-article:17428341 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:17428341 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:17428341 | pubmed:pagination | 9 | lld:pubmed |
| pubmed-article:17428341 | pubmed:dateRevised | 2009-11-18 | lld:pubmed |
| pubmed-article:17428341 | pubmed:year | 2007 | lld:pubmed |
| pubmed-article:17428341 | pubmed:articleTitle | How high is the level of technical noise in microarray data? | lld:pubmed |
| pubmed-article:17428341 | pubmed:affiliation | Department of Probability and Statistics, Charles University, Sokolovska 83, Praha-8, CZ-18675, Czech Republic. levkleb@yahoo.com | lld:pubmed |
| pubmed-article:17428341 | pubmed:publicationType | Journal Article | lld:pubmed |
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