plotCNOlistLarge: Plot the data in a CNOlist, for lists with many conditions.

In saezlab/CellNOptR: Training of boolean logic models of signalling networks using prior knowledge networks and perturbation data

Plot the data in a CNOlist, for lists with many conditions.

Description

This function plots the data in a CNOlist as a matrix of plots with a row for each condition and a column for each signal, and an extra plot for each row that specifies which cues are present.

Usage

plotCNOlistLarge(CNOlist,nsplit=4, newDevice=FALSE)

Arguments

CNOlist	a CNOlist
nsplit	the number of splits in the condition dimension (one new plot window will be produced for each split, i.e. if you have 80 conditions and specify 4 splits you will get 4 plots with 20 conditions each).
newDevice	nsplit plots are created within the same device. In principle, most of the R Graphical USer Interface will allow the user to navigate between the different plots. However, if scripting only the last plot will be seen. If you want to create new device for each different plot, then set this option to TRUE.

Details

This function can plot normalised values or the un-normalised ones, it just needs a CNOlist. This function makes plots of CNOlists that are more readable when many conditions are present in the data. In addition to plotting the conditions divided into multiple plots, this function also plots the cues divided in two columns, one for inhibitors and one for stimuli.

Value

This function just produces plots on your graphics window.

Author(s)

C. Terfve

See Also

plotCNOlist, plotCNOlistPDF, plotCNOlistLargePDF

Examples

data(CNOlistDREAM,package="CellNOptR")
plotCNOlistLarge(CNOlistDREAM, nsplit=2)

saezlab/CellNOptR documentation built on April 16, 2024, 5:21 a.m.