Computes moderated gene wise t-statistics.
Computes gene wise t-statistic with variance stabilised by adding the 90th percentile.
Gene expression matrix with samples as rows and genes as columns
Optional vector of 0/1 indicating sample phenotype
Computes a gene wise t-statistic with variance stabilised by adding the 90th percentile of all the genes' standard deviations to a gene's standard devitation (Efron et al. 2001). If y is given, a two-sample test is performed, otherwise a one-sample test is performed. For a two-sample t-test the approach of Pan et al. (2003) is used.
Vector with one smoothed t-value for each gene
Efron, B., Tibshirani, R., Storey, J. D. and Tusher, V. (2001) Empirical Bayes analysis of a microarray experiment, J Amer Statist Assoc, 96, 1151-1160.
Pan,W., Lin,J. and Le,C.T. (2003) A mixture model approach to detecting differentially expressed genes with microarray data, Funct Integr Genomics, 3, 117<96>124.
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##---- Should be DIRECTLY executable !! ---- ##-- ==> Define data, use random, ##-- or do help(data=index) for the standard data sets.
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