R/Counttofpkm.R
In reggenlab/UniPath: UniPath provides robust statistical methods to represent every single cell using pathway and gene-set enrichment scores. It can be used with both single cell RNA-seq and single cell ATAC-seq profile with scalability for atlas scale data-sets. Unipath comes with several features like psuedo-temporal ordering using pathway scores and unconventional way of enumerating differences between two cell populations.
Defines functions
Counttofpkm
#' Title Conversion of read count data to fpkm
#'
#' @param countMatrix Raw read count matrix
#' @param length length of genes. Order of length of genes and row names of count data should be same
#'
#' @return fpkm converted matrix
#' @export
#'
#' @examples
#' Counttofpkm()
Counttofpkm = function(countMatrix,length){
fpkm <- countMatrix/length
return(fpkm)
}
reggenlab/UniPath documentation built on Nov. 26, 2020, 8:09 a.m.
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Defines functions Counttofpkm
#' Title Conversion of read count data to fpkm
#'
#' @param countMatrix Raw read count matrix
#' @param length length of genes. Order of length of genes and row names of count data should be same
#'
#' @return fpkm converted matrix
#' @export
#'
#' @examples
#' Counttofpkm()
Counttofpkm = function(countMatrix,length){
fpkm <- countMatrix/length
return(fpkm)
}
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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