Summaries of Affymetrix GeneChip probe level data. Export

@article{Irizarry_et_al03, 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.}, address = {Department of Biostatistics, Johns Hopkins University, Baltimore, MD 21205, USA. rafa@jhu.edu}, author = {Irizarry, R. A. and Bolstad, B. M. and Collin, F. and Cope, L. M. and Hobbs, B. and Speed, T. P.}, booktitle = {Nucl. Acids Res.}, citeulike-article-id = {670705}, citeulike-linkout-0 = {http://dx.doi.org/10.1093/nar/gng015}, citeulike-linkout-1 = {http://nar.oxfordjournals.org/cgi/content/abstract/31/4/e15}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/12582260}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=12582260}, day = {15}, doi = {10.1093/nar/gng015}, issn = {1362-4962}, journal = {Nucleic acids research}, keywords = {affymetrix, geneexpression, rma, statistics}, month = {February}, number = {4}, pages = {e15+}, posted-at = {2008-03-26 16:17:08}, priority = {2}, title = {Summaries of Affymetrix GeneChip probe level data.}, url = {http://dx.doi.org/10.1093/nar/gng015}, volume = {31}, year = {2003} }

TY - JOUR ID - Irizarry_et_al03 L3 - citeulike-article-id:670705 N2 - 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. IS - 4 JF - Nucleic acids research SN - 1362-4962 AD - Department of Biostatistics, Johns Hopkins University, Baltimore, MD 21205, USA. rafa@jhu.edu TI - Summaries of Affymetrix GeneChip probe level data. VL - 31 T2 - Nucl. Acids Res. SP - e15 KW - affymetrix KW - geneexpression KW - rma KW - statistics AU - Irizarry, RA AU - Bolstad, BM AU - Collin, F AU - Cope, LM AU - Hobbs, B AU - Speed, TP PY - 2003/02/15/ UR - http://dx.doi.org/10.1093/nar/gng015 ER -