Abstract
Polyploidy plays an important role in plant evolution. A series of Arabidopsis autopolyploids and allopolyploids have been developed, and their transcript abundance compared using a 70-mer oligonucleotide microarray consisting of 26,090 annotated genes in Arabidopsis thaliana. The experimental design included repeated dye-swaps, and analysis of variance (ANOVA) was employed to detect significant gene expression changes among and between the diploid, autopolyploid, and allopolyploid populations. Here, we discuss the statistical issues (replication, normalization, transformation, per-gene variance estimate, and the pooled estimate of variation) involved in analyzing these data, as well as the statistical findings of these analyses.
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Recommended Citation
Jiang, Hongmei; Wang, Jianlin; Tian, Lu; Chen, Z. Je rey; and Doerge, R. W.
(2004).
"STATISTICAL ANALYSIS OF 70-MER OLIGONUCLEOTIDE MICROARRAY DATA FROM POLYPLOID EXPERIMENTS USING REPEATED DYE-SWAPS,"
Conference on Applied Statistics in Agriculture.
https://doi.org/10.4148/2475-7772.1159
STATISTICAL ANALYSIS OF 70-MER OLIGONUCLEOTIDE MICROARRAY DATA FROM POLYPLOID EXPERIMENTS USING REPEATED DYE-SWAPS
Polyploidy plays an important role in plant evolution. A series of Arabidopsis autopolyploids and allopolyploids have been developed, and their transcript abundance compared using a 70-mer oligonucleotide microarray consisting of 26,090 annotated genes in Arabidopsis thaliana. The experimental design included repeated dye-swaps, and analysis of variance (ANOVA) was employed to detect significant gene expression changes among and between the diploid, autopolyploid, and allopolyploid populations. Here, we discuss the statistical issues (replication, normalization, transformation, per-gene variance estimate, and the pooled estimate of variation) involved in analyzing these data, as well as the statistical findings of these analyses.
