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Removing batch effects in analysis of expression microarray data: an evaluation of six batch adjustment methods.
The expression microarray is a frequently used approach to study gene expression on a genome-wide scale. However, the data produced by the thousands of microarray studies published annually are confounded by "batch effects," the systematic error introduced when samples are processed in mul...
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Auteurs principaux: | , , , , , , |
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Format: | Artigo |
Langue: | Inglês |
Publié: |
Public Library of Science (PLoS)
2011-02-01
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Collection: | PLoS ONE |
Accès en ligne: | http://europepmc.org/articles/PMC3046121?pdf=render |
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