title: Optimal designs for one- and two-color microarrays using mixed models: a comparative evaluation of their efficiencies.
abstract: Comparative studies between the one- and two-color microarrays provide supportive evidence for similarities of results on differential gene expression. So far, no design comparisons between the two platforms have been undertaken. With the objective of comparing optimal designs of one- and two-color microarrays in their statistical efficiencies, techniques of design optimization were applied within a mixed model framework. A- and D-optimal designs for the one- and two-color platforms were sought for a 3 x 3 factorial experiment. The results suggest that the choice of the platform will not affect the "subjects to groups" allocation, being concordant in the two designs. However, under financial constraints, the two-color arrays are expected to have a slight upper hand in terms of efficiency of model parameters estimates, once the price of arrays is more expensive than that of subjects. This statement is especially valid for microarray studies envisaging class comparisons.
authors.affiliation: Department of Methodology and Statistics, Maastricht University, Maastricht, The Netherlands. Valeria.Limapassos@stat.unimaas.nl
authors.forename: Valéria
authors.initials: V
authors.lastname: Lima Passos
authors.forename: Frans E S
authors.initials: FE
authors.lastname: Tan
authors.forename: Bjorn
authors.initials: B
authors.lastname: Winkens
authors.forename: Martijn P F
authors.initials: MP
authors.lastname: Berger
mesh_terms: D003116:Color; D019295:Computational Biology / Q000379:methods; D004526:Efficiency; D020869:Gene Expression Profiling / Q000191:economics / Q000379:methods*; D020411:Oligonucleotide Array Sequence Analysis / Q000191:economics / Q000379:methods*