Summaries of Affymetrix GeneChip probe level data

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Summaries of Affymetrix GeneChip probe level data.

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. U...

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affy - analysis of Affymetrix GeneChip data at the probe level

MOTIVATION The processing of the Affymetrix GeneChip data has been a recent focus for data analysts. Alternatives to the original procedure have been proposed and some of these new methods are widely used. RESULTS The affy package is an R package of functions and classes for the analysis of oligonucleotide arrays manufactured by Affymetrix. The package is currently in its second release, affy...

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Expression profiling using affymetrix genechip probe arrays.

Large-scale microarray expression profiling studies have helped us to understand basic biological processes and to classify and predict the prognosis of cancers; they have also accelerated the identification of new drug targets. Affymetrix GeneChip probe arrays are high-density oligonucleotide microarrays that are available for many prokaryotic and eukaryotic species. Affymetrix human and mouse...

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Quality assessment of Affymetrix GeneChip data.

Affymetrix GeneChips are one of the best established microarray platforms. This powerful technique allows users to measure the expression of thousands of genes simultaneously. However, a microarray experiment is a sophisticated and time consuming endeavor with many potential sources of unwanted variation that could compromise the results if left uncontrolled. Increasing data volume and data com...

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A new summarization method for affymetrix probe level data

MOTIVATION We propose a new model-based technique for summarizing high-density oligonucleotide array data at probe level for Affymetrix GeneChips. The new summarization method is based on a factor analysis model for which a Bayesian maximum a posteriori method optimizes the model parameters under the assumption of Gaussian measurement noise. Thereafter, the RNA concentration is estimated from t...

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ژورنال

عنوان ژورنال: Nucleic Acids Research

سال: 2003

ISSN: 1362-4962

DOI: 10.1093/nar/gng015