plotHeatmap: Builds ten heatmaps with different p-values and clustering distances
Description
This function takes a MAIT object containing information of the significant features in the data and plots 10 heatmaps. 5 diferent p-values (0.05, 0.01, 0.001, 1e-4 and 1e-5) and two clustering distances (euclidean and pearson) are used.
Usage
plotHeatmap(MAIT.object=NULL)
Arguments
MAIT.object
A MAIT-class object where significant features have already been found.
Value
10 different heatmaps using 5 p-values (0.05, 0.01, 0.001, 1e-4 and 1e-5) and two clustering distances (euclidean and pearson) are created. The plots will be stored as png files in a folder called (working directory)/Heatmaps