Author:
Shaun Broderick, The Ohio State University
Introduction
Protein expression data from petunia flowers at different stages of flower senescence was analyzed using the “PROC GLM” and “PROC VARCOMP” commands in SAS to obtain an ANOVA table and variance components table. These outputs were used to determine an objective cut-off value for differential protein expression based on least significant differences (LSD).
References Cited
- Bai, S., B. Willard, L. J. Chapin, M. T. Kinter, D. M. Francis, A. D. Stead, and M. L. Jones. 2010. Proteomic analysis of pollination-induced corolla senescence in petunia. Journal of Experimental Botany 61:1089-1109. (Available online at: http://dx.doi.org/10.1093/jxb/erp373) (verified 20 Oct 2011).
- Kerr, M. K., M. Martin, and G. A. Churchill. 2000. Analysis of variance for gene expression microarray data. Journal of Computational Biology 7:819-837. (Available online at: http://dx.doi.org/10.1089/10665270050514954) (verified 20 Oct 2011).
Funding Statement
Development of this page was supported in part by the National Institute of Food and Agriculture (NIFA) Solanaceae Coordinated Agricultural Project, agreement 2009-85606-05673, administered by Michigan State University. Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the view of the United States Department of Agriculture.
Attachments:
Using ANOVA to evaluate differential expressionfinal.pdf (756.03 KB)
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