Tuesday, January 24, 2012

Using ANOVA to Evaluate Differential Protein Expression Tutorial

This tutorial uses a case study in petunia to demonstrate ANOVA in SAS using the "PROC GLM" and "PROC VARCOMP" commands. Sample SAS code is provided. Using information from the ANOVA table and variance components output, an objective cut-off value based on least significant differences (LSD) for differential protein expression can be obtained. The tutorial is provided in Slideshare and pdf formats.

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 anANOVA 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).
Using ANOVA to evaluate differential expressionfinal.pdf (756.03 KB)


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