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TcGSA (version 0.9.8)
Time-course Gene Set Analysis
Description
This package implements the TcGSA, an algorithm to analyze longitudinal gene-expression data at the gene set level.
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0.9.8
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Install
install.packages('TcGSA')
Monthly Downloads
235
Version
0.9.8
License
LGPL-3 | file LICENSE
Maintainer
Boris P Hejblum
Last Published
April 28th, 2014
Functions in TcGSA (0.9.8)
Search functions
plotPat.TcGSA
Plot a Gene Set Trends Heatmap for each Patient.
clustTrend
Cluster the genes dynamics into different dominant trends.
TcGSA-package
Time-course Gene Set Analysis
rmixchisq
Random Generation of Chi-square Mixtures
multtest.TcGSA
Computing the P-value of the Likelihood Ratios Applying a Multiple Testing Correction
plotFit.GS
Plotting function for exploring the fittness of the mixed modeling used in TcGSA
TcGSA-internal
Internal TcGSA Functions
plot.TcGSA
Plot a Gene Set Trends Heatmap.
signifLRT.TcGSA
Identifiying the Significant Gene Sets
plotPat.1GS
Plotting a Specific Gene Set Stratifying on Patients
TcGSA.LR.parallel
Parallel computing the Likelihood Ratios for the Gene Sets under Scrutiny
plotSelect.GS
Plotting (several) Selected Gene Set(s) in some Subjects
plot1GS
Plotting a Specific Gene Set
data_simu_TcGSA
Simulated Data for TcGSA
summary.TcGSA
Summarizing TcGSA
pval_simu
Computing P-values with a Simulated Sample from the Null Distribution
TcGSA.LR
Computing the Likelihood Ratios for the Gene Sets under Scrutiny