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All functions

TcGSA-package
Time-course Gene Set Analysis
TcGSA.LR() print(<TcGSA>)
Computing the Likelihood Ratios for the Gene Sets under Scrutiny
TcGSA.LR.parallel()
Parallel computing the Likelihood Ratios for the Gene Sets under Scrutiny
rchisqmix() dchisqmix() qchisqmix() pchisqmix()
Chi-Squared Mixtures Distribution
clustTrend() print(<ClusteredTrends>) plot(<ClusteredTrends>)
Cluster the genes dynamics into different dominant trends.
data_simu_TcGSA
Simulated Data for TcGSA
multtest.TcGSA()
Computing the P-value of the Likelihood Ratios Applying a Multiple Testing Correction
plot(<TcGSA>)
Plot a Gene Set Trends Heatmap.
plot1GS()
Plotting a Specific Gene Set
plotFit.GS()
Plotting function for exploring the fitness of the mixed modeling used in TcGSA
plotMultipleGS()
Plotting Multiple Gene Sets in a single plot
plotPat.1GS()
Plotting a Specific Gene Set Stratifying on Patients
plotPat.TcGSA()
Plot a Gene Set Trends Heatmap for each Patient.
plotSelect.GS()
Plotting (several) Selected Gene Set(s) in some Subjects
signifLRT.TcGSA()
Identifying the Significant Gene Sets
summary(<TcGSA>) print(<summary.TcGSA>)
Summarizing TcGSA