Cyber-T is a statistics program with a web interface that can be conveniently used on high-dimensional array data for the identification of statistically significant differentially expressed genes. It employs statistical analyses based on simple t-tests that use the observed variance of replicate gene measurements across replicate experiments, or regularized t-tests that use a Bayesian estimate of the variance among gene measurements within an experiment. Cyber-T also contains a computational method (PPDE) for estimating experiment-wide false positive and negative levels based on the modeling of p-value distributions. [ Background of Cyber-T ]

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	Use this program to analyze 2-dye data such as that generated by glass slide arrays probed with cy3/cy5-labelled cDNA.
	Use this program to analyze experiments with separate control and experimental data sets. This program allows the option to perform the PPDE analysis.
	Use this stand-alone program to model p-value distributions to obtain PPDE values for target measurements.
	R code for Bayes T-test, Paired T-test and One-Way ANOVA
	FAQ's, troubleshooting and information on using and downloading Cyber-T. To report a bug in the programs or the web interface, please contact the Cyber-T Helpdesk.
	This webpage provides links to datasets that contain DNA microarray gene expression data.