Gemechu, Dibaba BayisaDebusho, Legesse KassaHaines, Linda M.2016-01-252016-01-252015Gemechu, DB, Debusho, LK & Haines, LM 2015, 'A - and D-optional row-column designs for two-colour cDNA microarray experiments using linear mixed effects models', South African Statistical Journal, vol. 49, pp. 153-168.0038-271Xhttp://hdl.handle.net/2263/51235Microarray experiments help scientists to study the expression level of thousands of genes simultaneously. These experiments have many design challenges, such as, for example, which mRNA samples should be co-hybridized together and which treatments should be labelled with which fluorescent dye. Therefore a carefully designed microarray experiment to obtain efficient and reliable data so as to ensure the precise estimate of comparisons of interest is required. The present paper is concerned with A- and D-optimal row-column designs for two-colour microarray experiments, with the array and dye effects treated as the column and row effects, respectively. Linear mixed effects models were used to describe experiments for which a comparison of all possible pairs of treatments is of particular interest by taking the arrays as random column effects. The results of this study show that the optimal row-column designs under the linear fixed effects model are not necessarily optimal under the linear mixed effects model setting.enSouth African Statistical AssociationA-optimalD-optimalLinear mixed effects modelMicroarray experimentsRobust designsRow-column designArticle