Assessing affymetrix GeneChip microarray quality |
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Authors: | Matthew N McCall Peter N Murakami Margus Lukk Wolfgang Huber Rafael A Irizarry |
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Institution: | (1) Department of Biostatistics and Computational Biology, University of Rochester Medical Center, 601 Elmwood Ave., Rochester, NY, USA;(2) Center for Epigenetics, Johns Hopkins School of Medicine, 855 N. Wolfe St., Baltimore, MD, USA;(3) EMBL-EBI Functional Genomics Group, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK;(4) Cancer Research UK Cambridge Research Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 ORE, UK;(5) EMBL Genome Biology Unit, 69117 Heidelberg, Germany;(6) Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD, USA |
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Abstract: | Background Microarray technology has become a widely used tool in the biological sciences. Over the past decade, the number of users
has grown exponentially, and with the number of applications and secondary data analyses rapidly increasing, we expect this
rate to continue. Various initiatives such as the External RNA Control Consortium (ERCC) and the MicroArray Quality Control
(MAQC) project have explored ways to provide standards for the technology. For microarrays to become generally accepted as
a reliable technology, statistical methods for assessing quality will be an indispensable component; however, there remains
a lack of consensus in both defining and measuring microarray quality. |
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