{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Greer KA"],"funding":["NIDDK NIH HHS","NHLBI NIH HHS"],"pagination":["149"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC1450302"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["7"],"pubmed_abstract":["<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 resul"],"journal":["BMC bioinformatics"],"pubmed_title":["CARMA: A platform for analyzing microarray datasets that incorporate replicate measures."],"pmcid":["PMC1450302"],"funding_grant_id":["K02 HL067067","DK064706","HL67067"],"pubmed_authors":["Hoying JB","Greer KA","Brooks HL","McReynolds MR"],"additional_accession":[]},"is_claimable":false,"name":"CARMA: A platform for analyzing microarray datasets that incorporate replicate measures.","description":"<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 resul","dates":{"release":"2006-01-01T00:00:00Z","publication":"2006 Mar","modification":"2026-04-29T20:41:27.844Z","creation":"2019-03-27T01:26:23Z"},"accession":"S-EPMC1450302","cross_references":{"pubmed":["16542461"],"doi":["10.1186/1471-2105-7-149"]}}