Abstract
High density oligonucleotide array technology is widely used in many areas of biomedical research for quantitative and highly parallel measurements of gene expression. Affymetrix GeneChip arrays are the most popular. In this technology each gene is typically represented by a set of 11-20 pairs of probes. In order to obtain expression measures it is necessary to summarize the probe level data. Using two extensive spike-in studies and a dilution study, we developed a set of tools for assessing the effectiveness of expression measures. We found that the performance of the current version of the default expression measure provided by Affymetrix Microarray Suite can be significantly improved by the use of probe level summaries derived from empirically motivated statistical models. In particular, improvements in the ability to detect differentially expressed genes are demonstrated.
MeSH Terms
Central Nervous System/metabolism
DNA Probes/genetics,standards
Gene Expression Profiling
Humans
Liver/metabolism
Oligonucleotide Array Sequence Analysis/methods,standards
RNA, Messenger/genetics,metabolism
Reproducibility of Results
Software
Chemicals
DNA Probes
RNA, Messenger
Authors & Affiliations
6 authors, click to expand affiliations / ORCID
Irizarry Rafael A
Department of Biostatistics, Johns Hopkins University, Baltimore, MD 21205, USA. rafa@jhu.edu
Bolstad Benjamin M
Collin Francois
Cope Leslie M
Hobbs Bridget
Speed Terence P
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