create_scatterplots: create scatterplots of deconvolution results for all...

In MarianSchoen/DMC: Comparison of different Deconvolution Models in several scenarios

create scatterplots of deconvolution results for all algorithms

Description

create scatterplots of deconvolution results for all algorithms

Usage

create_scatterplots(
  results.list,
  real.props = NULL,
  training.pheno = NULL,
  real = FALSE,
  celltype.order = NULL,
  algorithm.order = NULL
)

Arguments

results.list	list of results as returned by deconvolute
real.props	matrix containing real proportions for each cell type '(cell type x bulk); optional, needed only if results.list does not contain 'bulk.props'
training.pheno	pheno data for the single-cell training set; optional
real	boolean; are the deconvoluted bulks real or artificial
celltype.order	character vector of cell types specifying the plotting order
algorithm.order	character vector of algorithm names specifying the plotting order

Value

list containing one plot per algorithm, ordered by algorithm.order

MarianSchoen/DMC documentation built on Aug. 2, 2022, 3:05 p.m.