tsneStudy: tSNE visualization of our data and study on distance of...

In juanbot/G2PML:

Description

It generates the plot in a progressive manner. In a 1st pdf, it plots all protein coding genes, with same grey color. In a second color, it plots disease genes in orange, with their names as labels. In a 3rd plot, we shoe neighbouring genes for the red ones. Finally, in the last plot, predictions are shown in red.

Usage

tsneStudy(fsdata, r = 0.6, ensemble, outpath = "~/Downloads//",
  altPanel = NULL)

Arguments

fsdata	The results from caret::featureSelection
r	It has the same meaning as in caret::featureSelection. Higher the value, most selective is the filter to select which features appear in the plot.
ensemble	The result to call caret::ensembleLearnKFold
outpath	Where to store the plots
altPanel	Pretty name for the panel, to be used at the plot. Otherwise, the one appearing at the 'ensemble' will be used

Value

Nothing, just plots into files

Examples

tsneStudy(fsdata=fspd,ensemble=pdmodel,r=0.4,altPanel="PD")

juanbot/G2PML documentation built on Aug. 1, 2020, 5:07 a.m.