TcGSA-package | Time-course Gene Set Analysis |
chisqmix | Chi-Squared Mixtures Distribution |
ClusteredTrends | Cluster the genes dynamics into different dominant trends. |
clustTrend | Cluster the genes dynamics into different dominant trends. |
data_simu_TcGSA | Simulated Data for TcGSA |
dchisqmix | Chi-Squared Mixtures Distribution |
design | Simulated Data for TcGSA |
expr_1grp | Simulated Data for TcGSA |
expr_2grp | Simulated Data for TcGSA |
gmt_sim | Simulated Data for TcGSA |
multtest.TcGSA | Computing the P-value of the Likelihood Ratios Applying a Multiple Testing Correction |
pchisqmix | Chi-Squared Mixtures Distribution |
plot.ClusteredTrends | Cluster the genes dynamics into different dominant trends. |
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 |
print.ClusteredTrends | Cluster the genes dynamics into different dominant trends. |
print.summary.TcGSA | Summarizing TcGSA |
print.TcGSA | Computing the Likelihood Ratios for the Gene Sets under Scrutiny |
print.TcGSA.LR | Computing the Likelihood Ratios for the Gene Sets under Scrutiny |
qchisqmix | Chi-Squared Mixtures Distribution |
rchisqmix | Chi-Squared Mixtures Distribution |
signifLRT.TcGSA | Identifying the Significant Gene Sets |
summary.TcGSA | Summarizing TcGSA |
TcGSA | Time-course Gene Set Analysis |
TcGSA.LR | Computing the Likelihood Ratios for the Gene Sets under Scrutiny |
TcGSA.LR.parallel | Parallel computing the Likelihood Ratios for the Gene Sets under Scrutiny |