biostudies-literatureGreer KANIDDK NIH HHSNHLBI NIH HHS149https://www.ebi.ac.uk/biostudies/studies/S-EPMC1450302biostudies-literatureUnknown7<h4>Background</h4>The incorporation of statistical models that account for experimental variability provides a necessary framework for the interpretation of microarray data. A robust experimental design coupled with an analysis of variance (ANOVA) incorporating a model that accounts for known sources of experimental variability can significantly improve the determination of differences in gene expression and estimations of their significance.<h4>Results</h4>To realize the full benefits of performing analysis of variance on microarray data we have developed CARMA, a microarray analysis platform that reads data files generated by most microarray image processing software packages, performs ANOVA using a user-defined linear model, and produces easily interpretable graphical and numeric resulBMC bioinformaticsCARMA: A platform for analyzing microarray datasets that incorporate replicate measures.PMC1450302K02 HL067067DK064706HL67067Hoying JBGreer KABrooks HLMcReynolds MRfalseCARMA: A platform for analyzing microarray datasets that incorporate replicate measures.<h4>Background</h4>The incorporation of statistical models that account for experimental variability provides a necessary framework for the interpretation of microarray data. A robust experimental design coupled with an analysis of variance (ANOVA) incorporating a model that accounts for known sources of experimental variability can significantly improve the determination of differences in gene expression and estimations of their significance.<h4>Results</h4>To realize the full benefits of performing analysis of variance on microarray data we have developed CARMA, a microarray analysis platform that reads data files generated by most microarray image processing software packages, performs ANOVA using a user-defined linear model, and produces easily interpretable graphical and numeric resul2006-01-01T00:00:00Z2006 Mar2026-04-29T20:41:27.844Z2019-03-27T01:26:23ZS-EPMC14503021654246110.1186/1471-2105-7-149