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