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rdf:type |
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lifeskim:mentions |
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pubmed:dateCreated |
2006-8-4
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pubmed:abstractText |
Recently, a large number of methods for the analysis of microarray data have been proposed but there are few comparisons of their relative performances. By using so-called spike-in experiments, it is possible to characterize the analyzed data and thereby enable comparisons of different analysis methods.
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pubmed:commentsCorrections |
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:issn |
1471-2105
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:volume |
7
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
300
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pubmed:dateRevised |
2009-11-18
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pubmed:meshHeading |
pubmed-meshheading:16774679-Computational Biology,
pubmed-meshheading:16774679-Data Interpretation, Statistical,
pubmed-meshheading:16774679-Gene Expression Profiling,
pubmed-meshheading:16774679-Image Processing, Computer-Assisted,
pubmed-meshheading:16774679-Models, Statistical,
pubmed-meshheading:16774679-Oligonucleotide Array Sequence Analysis,
pubmed-meshheading:16774679-ROC Curve,
pubmed-meshheading:16774679-Reproducibility of Results
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pubmed:year |
2006
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pubmed:articleTitle |
Evaluation of microarray data normalization procedures using spike-in experiments.
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pubmed:affiliation |
Department of Clinical Microbiology Division of Clinical Bacteriology, Umeå University, SE-90187 Umeå, Sweden. patrik.ryden@climi.umu.se
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pubmed:publicationType |
Journal Article,
Comparative Study,
Research Support, Non-U.S. Gov't,
Evaluation Studies
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