Function performs a pathway enrichment analysis of a definied set of genes.
● Data Source:
BioConductor
● Keywords: gene set enrichment analysis, pathway enrichment analysis
● Alias: pathEnrich
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splineDiffExprs
(Package: splineTCDiffExpr) :
Differential expression analysis based on natural cubic spline regression models for time-course data
The function compares time dependent behaviour of genes in two different groups. Applying empirical Bayes moderate F-statistic on differences in coefficients of fitted natural cubic spline regression models, differentially expressed in time genes are determined. The function is a wrapper of other R-functions to simplify differential expression analysis of time-course data.
● Data Source:
BioConductor
● Keywords: differential expression, spline, time-course data
● Alias: splineDiffExprs
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splineNetRecon
(Package: splineTCDiffExpr) :
Network reconstruction based on partial correlation method with shrinkage approach
splineNetRecon reconstructs gene association networks from time-course data. Based on given object of class ExpressionSet, longitudinal data object is created. Subsequantly the function estimates edges using partial correlation method with shrinkage approach applying ggm.estimate.pcor and network.test.edges functions. As a result an object or list of object of class igraph is created.
● Data Source:
BioConductor
● Keywords: differential expression, time-course data
● Alias: splineNetRecon
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Function visualises time dependent behaviour of genes in two compared groups. The natural cubic spline regression curves fitted to discrete, time dependent expression data are plotted. One plot shows two curves - representing the reference group and the compared group, respectively. See also splineDiffExprs function.
● Data Source:
BioConductor
● Keywords: spline, time-course data
● Alias: splinePlot
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providing 
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