Testing significance relative to a fold-change threshold is a TREAT. Export

@article{citeulike:3978113, abstract = {MOTIVATION: Statistical methods are used to test for the differential expression of genes in microarray experiments. The most widely used methods successfully test whether the true differential expression is different from zero, but give no assurance that the differences found are large enough to be biologically meaningful. RESULTS: We present a method, t-tests relative to a threshold (TREAT), that allows researchers to test formally the hypothesis (with associated p-values) that the differential expression in a microarray experiment is greater than a given (biologically meaningful) threshold. We have evaluated the method using simulated data, a dataset from a quality control experiment for microarrays and data from a biological experiment investigating histone deacetylase inhibitors. When the magnitude of differential expression is taken into account, TREAT improves upon the false discovery rate of existing methods and identifies more biologically relevant genes. AVAILABILITY: R code implementing our methods is contributed to the software package limma available at http://www.bioconductor.org.}, author = {McCarthy, Davis J. and Smyth, Gordon K.}, citeulike-article-id = {3978113}, citeulike-linkout-0 = {http://dx.doi.org/10.1093/bioinformatics/btp053}, citeulike-linkout-1 = {http://bioinformatics.oxfordjournals.org/cgi/content/abstract/25/6/765?etoc}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/19176553}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=19176553}, day = {15}, doi = {10.1093/bioinformatics/btp053}, issn = {1460-2059}, journal = {Bioinformatics (Oxford, England)}, keywords = {gene\_expression, method, statistics}, month = {March}, number = {6}, pages = {765--771}, posted-at = {2009-10-02 13:53:02}, priority = {4}, title = {Testing significance relative to a fold-change threshold is a TREAT.}, url = {http://dx.doi.org/10.1093/bioinformatics/btp053}, volume = {25}, year = {2009} }

TY - JOUR ID - citeulike:3978113 L3 - citeulike-article-id:3978113 N2 - MOTIVATION: Statistical methods are used to test for the differential expression of genes in microarray experiments. The most widely used methods successfully test whether the true differential expression is different from zero, but give no assurance that the differences found are large enough to be biologically meaningful. RESULTS: We present a method, t-tests relative to a threshold (TREAT), that allows researchers to test formally the hypothesis (with associated p-values) that the differential expression in a microarray experiment is greater than a given (biologically meaningful) threshold. We have evaluated the method using simulated data, a dataset from a quality control experiment for microarrays and data from a biological experiment investigating histone deacetylase inhibitors. When the magnitude of differential expression is taken into account, TREAT improves upon the false discovery rate of existing methods and identifies more biologically relevant genes. AVAILABILITY: R code implementing our methods is contributed to the software package limma available at http://www.bioconductor.org. IS - 6 JF - Bioinformatics (Oxford, England) SN - 1460-2059 EP - 771 TI - Testing significance relative to a fold-change threshold is a TREAT. VL - 25 SP - 765 KW - gene_expression KW - method KW - statistics AU - McCarthy, Davis AU - Smyth, Gordon PY - 2009/03/15/ UR - http://dx.doi.org/10.1093/bioinformatics/btp053 ER -