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| TIME COURSE ANALYSIS OF VARIANCE FOR MICROARRAY (TANOVA) |
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data.form -format data into appropriate format for TANOVA
design.matrix -generate design matrix for ANOVA test
F.stat.null/F.stat.null2 -generate bootstrap null distribution of F-statistic
F.stat/F.stat2 -compute the F-statistic of ANOVA
fdr.table -compute FDR table
tanova - main function for TANOVA
gene.classifier1/gene.classifier2/gene.classifier3 -TANOVA for non-time course/longitutide/cross-sectional data respectively
group.ix -array index in the data matrix for each combination of factor levels
ls.estimate -compute the least square estimate
NANOVA.test/NANOVA.test2/NANOVA.test3 -perform Non-parametric analysis of variance (NANOVA) for TANOVA
prior.sigma/prior.SIGMA -compute the prior of covariance matrix
proj.data -compute time course projected data
proj.dir/proj.dir2 -estimation of projection direction
sig.number -count the number of significant genes in the FDR table at a specified cutoff
sigma.hat -estimate the covariance matrix
trigammaInverse -compute the trigamma inverse
TANOVAmanual -view TANOVA PDF manual
