| average.rows | Average rows by match and index |
| data.abiotic | Gene expression data potato abiotic stress |
| edesign.abiotic | Experimental design potato abiotic stress |
| edesignCT | Experimental design with a shared time |
| edesignDR | Experimental design with different replicates |
| getDS | Extract lists of significant isoforms from Differentially... |
| getDSPatterns | Lists of genes with Isoforms in different clusters |
| get.siggenes | Extract significant genes for sets of variables in time... |
| i.rank | Ranks a vector to index |
| ISOdata | RNA-Seq dataset example for isoforms |
| ISOdesign | Experimental design for ISOdata dataset example |
| IsoModel | Detection of genes with Isoforms with different gene... |
| IsoPlot | Plotting the isoform profiles of a specific gene by groups |
| make.design.matrix | Make a design matrix for regression fit of time series gene... |
| maSigProUsersGuide | View maSigPro User's Guide |
| NBdata | RNA-Seq dataset example |
| NBdesign | Experimental design for RNA-Seq example |
| PlotGroups | Function for plotting gene expression profile at different... |
| PlotProfiles | Function for visualization of gene expression profiles |
| PodiumChange | Detection of Genes with switchs of their major isoforms |
| position | Column position of a variable in a data frame |
| p.vector | Make regression fit for time series gene expression... |
| reg.coeffs | Calculate true variables regression coefficients |
| seeDS | Wrapper function for visualization of significant isoforms... |
| see.genes | Wrapper function for visualization of gene expression values... |
| stepback | Fitting a linear model by backward-stepwise regression |
| stepfor | Fitting a linear model by forward-stepwise regression |
| suma2Venn | Creates a Venn Diagram from a matrix of characters |
| tableDS | Identification of Mayor and minor Isoforms in the clusters |
| T.fit | Makes a stepwise regression fit for time series gene... |
| two.ways.stepback | Fitting a linear model by backward-stepwise regression |
| two.ways.stepfor | Fitting a linear model by forward-stepwise regression |
