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From CEL Files to Annotated Lists of Interesting Genes

  • R. A. Irizarry
Part of the Statistics for Biology and Health book series (SBH)

Abstract

One of the most popular applications of microarray technology is the identification of genes that are differentially expressed in two populations.With Affymetrix GeneChip technology, there are several steps between hybridization and the selection of interesting genes. The steps of preprocessing to improve signal to noise ratios, choosing a summary statistic for appropriate ranking of genes, and deciding on a final filter for candidate genes are largely statistical in nature. In this chapter, we demonstrate Bioconductor tools useful for creating such lists. We start from the raw probe level data (CEL files) and conclude with the creation of annotated reports.

Keywords

Interesting Gene Volcano Plot Average Fold Change Probe Level Data False Discovery Rate Adjustment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, Inc. 2005

Authors and Affiliations

  • R. A. Irizarry

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