plot_deconvolute {granulator} | R Documentation |
plot_deconvolute
allows to compare methods across cell
types, where the different methods show a high level of agreement or
potentially generate diverging proportion estimates.
plot_deconvolute( deconvoluted = deconvoluted, scale = TRUE, labels = TRUE, markers = TRUE )
deconvoluted |
output object from function |
scale |
Boolean: indicate whether the coefficients should be transformed to standard scores (default: scale = TRUE). |
labels |
Boolean: indicate if x axis labels should be included (default: labels = TRUE). |
markers |
Boolean: indicate if data points markers should be drawn (default: markers = TRUE). |
Plots the estimated cell types generated by different deconvolution methods/signature matrices across samples. Scaling is used to directly compare deconvolution outputs across methods.
line plot
Vincent Kuettel, Sabina Pfister
# load demo PBMCS data load_ABIS() # deconvolute decon <- deconvolute(m = bulkRNAseq_ABIS, sigMatrix = sigMatrix_ABIS_S0) # plot deconvolute plot_deconvolute(deconvoluted = decon)