checkCountDepth: Running SCnorm checkCountDepth test.

In kendomaniac/rCASC: rCASC reproducible Classification Analysis of Single Cell Sequencing Data

Running SCnorm checkCountDepth test.

Description

This function executes a check on the data count-depth relationship used by SCnorm.

Usage

checkCountDepth(
  group = c("sudo", "docker"),
  file,
  conditions = NULL,
  FilterCellProportion = 0.1,
  FilterExpression = 0,
  ditherCounts = FALSE,
  outputName,
  nCores = 8
)

Arguments

group	a character string. Two options: sudo or docker, depending to which group the user belongs.
file	a character string indicating the path of the file. IMPORTANT: full path to the file MUST be included. Only tab delimited files are supported
conditions	vector of condition labels, this should correspond to the columns of the un-normalized expression matrix. If not provided data is assumed to come from same condition/batch.
FilterCellProportion	a value indicating the proportion of non-zero expression estimates required to include the genes into the evaluation. Default is .10, and will not go below a proportion which uses less than 10 total cells/samples
FilterExpression	a value indicating exclude genes having median of non-zero expression below this threshold from count-depth plots
ditherCounts	Setting to TRUE might improve results with UMI data, default is FALSE
outputName	specify the path and/or name of output files.
nCores	number of cores to use, default is detectCores() - 1.

Value

pdf with the cells counts distributions

Examples

## Not run: 
    #UMI 3' end analysis
    system("wget http://130.192.119.59/public/example_UMI.txt.zip")
    unzip("example_UMI.txt.zip")
    conditions=rep(1,12)
    checkCountDepth(group="docker", file=paste(getwd(), "example_UMI.txt", sep="/"),
    conditions=conditions, FilterCellProportion=0.1, FilterExpression=0,
    ditherCounts=TRUE, outputName="example_UMI", nCores=8)


## End(Not run)

kendomaniac/rCASC documentation built on July 3, 2024, 6:05 a.m.