Time Course Analysis of Variance for Microarray


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Documentation for package ‘TANOVA’ version 1.0.0

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data.form Convert input data into appropriate format for TANOVA
design.matrix Generate design matrix for two-way factorial analysis
F.stat Compute F-statistics for ANOVA model
F.stat.null Generation of null F-statistics by bootstrap method
F.stat.null2 Generation of null F-statistics by bootstrap method
F.stat2 Compute F-statistics for ANOVA model
fdr.table TANOVA False Discovery Table
gene.classifier1 Classification of genes by time course analysis of variance(TANOVA)
gene.classifier2 Classification of genes by time course analysis of variance(TANOVA)
gene.classifier3 Classification of genes by time course analysis of variance(TANOVA)
group.ix This is an internal function
ls.estimate Least square estimation
NANOVA.test Non-parametric analysis of variance (NANOVA)
NANOVA.test2 Non-parametric analysis of variance (NANOVA)
NANOVA.test3 Non-parametric analysis of variance (NANOVA)
prior.SIGMA Compute the prior of covariance matrix
prior.sigma Compute the prior of covariance matrix
proj projection direction
proj.data Projection of Raw Data
proj.dir projection direction
proj.dir2 projection direction
sig.number The number of significant genes in the FDR table at specified quantiles
sigma.hat Estimation of Covariance Matrix
tanova Classification of genes by time course analysis of variance(TANOVA)
TANOVAmanual Classification of genes by time course analysis of variance(TANOVA)
trigammaInverse Trigamma Inverse Function
z.score Z Score