Statistical Designs for Microarray Experiments
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Date
2012
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
IARI, INDIAN AGRICULTURAL STATISTICS RESEARCH INSTITUTE
Abstract
A general method of construction of efficient row-column designs with two
rows useful for 2-colour single factor microarray experiments has been developed. Lower
bounds to A- and D- efficiencies of the designs obtained through the proposed method of
construction have been computed and compared with those of best available designs in
the literature under a fixed effects model. The comparison of lower bounds to A- and Defficiencies
of the designs obtained for 3 v 10,v b v(v 1) / 2, , 11 v 35,b v
and (v, b) = (11,12), (11,13), (12,13), (12,14), (13,14), (13,15), (13,16), where v is the
number of treatments and b is the number of columns or arrays has also been made with
those of best available designs under a mixed effects model. Robustness aspects of
optimal / efficient designs has been investigated under a mixed effects model for different
value of ρ (a function of inter and intra block variances). Several designs have been
obtained that are more efficient under mixed effects model as compared to the best
available designs. A procedure of obtaining efficient row-column designs for single
factor microarray experiments in the above parametric range, along with their
efficiencies, has been developed using C# programming language with ASP.NET
platform.
Description
T-8703
Keywords
2-Colour Microarray experiments, Row-column designs, A-efficiency, Defficiency, Robustness