WISP-package: Weighted In Silico Pathology
In cit-bioinfo/WISP: Weighted In Silico Pathology

an R package for retrieving pure population samples and estimating in a sample the proportion of the different contingents based on the pure profiles.

Package:	WISP
Type:	Package
Version:	2.3
Date:	2019-01-06
License:	GPL>2

Yuna Blum, Aurelien de Reynies
Maintainer: Yuna Blum <yuna.blum@gmail.com>

data(dataWISP)

resPure = WISP.getPureCentro(data= dataWISP$datapure,cl= dataWISP$clpure, nb_markers_selection = "custom",   nb_markers_max_perClass = 50, pureSamples_deltaTopWeights = 0.6, plot_heatmap = TRUE, col_purePop = c("Epure"="blue","normal"="grey","Spure"="green"), sum_LessThanOne = FALSE)

resW = WISP.getWeight(dataWISP$data, resPure$genescentro, sum_LessThanOne = FALSE)

WISP.getPlot(resW, annotsup = dataWISP$histo, plot_type = "heatmap", col_purePop = c("Epure"="blue","normal"="grey","Spure"="green"))
WISP.getPlot(resW, annotsup = dataWISP$histo, plot_type = "barplot", col_purePop = c("Epure"="blue","normal"="grey","Spure"="green"))