International Journal of Mathematics Trends and Technology
Volume 69 | Issue 7 | Year 2023 | Article Id. IJMTT-V69I7P504 | DOI : https://doi.org/10.14445/22315373/IJMTT-V69I7P504
| Received | Revised | Accepted | Published |
|---|---|---|---|
| 02 Jun 2023 | 05 Jul 2023 | 17 Jul 2023 | 31 Jul 2023 |
The quality of estimation of variance components depends on the design used as well as on the unknown values of the variance components. In this article, three designs (split-plot design with the whole-plot arranged in complete randomized design and sub-plot arranged in randomized complete block design (SPD (CRD, RCBD), split-plot design with the whole-plot arranged in complete randomized design and the sub-plot arranged in Latin square design (SPD (CRD, LSD), and split-plot design with the whole-plot arranged in Latin square design and sub-plot arranged in randomized complete block design (SPD (LSD, RCBD)) for assessing gene expression in dual channel microarray were evaluated and compared. Three methods of sample pairing (vertical loop method (design A), cross loop method (design B) and horizontal loop method (design C)) in dual channel microarray applied on split-plot designs for obtaining variance components was used for the comparison, in order to ascertain which method gives the minimal variance components for the effects of interest. The results showed that design A had the least variance for comparing all the treatment effects except for the whole-plot treatment on SPD (CRD, RCBD), design C had the least variance for comparing all the treatment effects except for the whole-plot treatment on SPD (CRD, LSD), and design C had the least variance for comparing all the treatment effects except for the column treatment on SPD (LSD, RCBD).
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Ifeoma Ogochukwu Ude, Abimibola Victoria Oladugba, Uchenna Charity Onwuamaeze, Oluchukwu Chukwuemeka Asogwa, "Comparison of Methods of Estimating Variance Components in Dual Channel Microarray Applied in Split-Plot Designs," International Journal of Mathematics Trends and Technology (IJMTT), vol. 69, no. 7, pp. 32-48, 2023. Crossref, https://doi.org/10.14445/22315373/IJMTT-V69I7P504
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