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Generation Of Patterns From Gene Expression Data By Assigning Confidence To Differentially Expressed Genes (2000)

Abstract
Motivation. A protocol is described to attach expression patterns to genes represented in a collection of hybridization array experiments. Discrete values are used to provide an easily interpretable description of differential expression. Binning cutoffs for each sample type are chosen automatically, depending on the desired false-positive rate for the predictions of differential expression. Confidence levels are derived for the statement that changes in observed levels represent true changes in expression. We have a novel method for calculating this confidence, which gives better results than the standard methods. Our method reflects the broader change of focus in the field from studying a few genes with many replicates to studying many (possibly thousands) of genes simultaneously, but with relatively few replicates. Our approach differs from standard methods in that it exploits the fact that there are many genes on the arrays. These are used to estimate for each sample type an approp...

Publication details
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=?doi=10.1.1.37.4822
Source http://www.cbil.upenn.edu/PaGE/GenerPatterns_proofs.ps
Contributors CiteSeerX
Repository CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Keywords confidence measures, differential expression, gene expression patterns, hybridization array, microarray
Type text
Language English
Relation 10.1.1.115.7807, 10.1.1.1.8825, 10.1.1.17.6166