plotVarianceTrend: plot Mean~variance trend

In liuqivandy/scRNABatchQC: a package for quality control of multiple single cell RNAseq data

Description

plot the gene mean vs. variance trend

Usage

plotVarianceTrend(
  sces,
  scolors = 1:length(sces),
  pointSize = 0.8,
  lineSize = 1
)

Arguments

sces	list; a list of SingleCellExperiment objects; each object containing QC metadata for each dataset; (results from Process_scRNAseq )
scolors	a vector of integer; the color of each dataset (default: 1:length(sces))
lineSize	integer; the line size of the fitted mean-variance trend curve (default: 1)
pointSize;	the point size of each dot representing each gene

See Also

Process_scRNAseq

Examples

library(scRNABatchQC)
sces<-Process_scRNAseq(inputfiles=c("https://github.com/liuqivandy/scRNABatchQC/raw/master/bioplar1.csv.gz",
                                    "https://github.com/liuqivandy/scRNABatchQC/raw/master/bioplar5.csv.gz"))
  
#plot the mean~variance trend for all datasets
plotVarianceTrend(sces)
#plot the mean~variance trend for the first dataset
plotVarianceTrend(sces[1])

liuqivandy/scRNABatchQC documentation built on March 24, 2021, 11:01 p.m.