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| TcGSA-package | Time-course Gene Set Analysis |
| 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 |
| 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 |
| 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 fittness of the mixed modeling used in TcGSA |
| 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 |
| rmixchisq | Random Generation of Chi-square Mixtures |
| signifLRT.TcGSA | Identifiying 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 |