norm_ge_tmm: Normalize gene expression using TMM
In jmonlong/scCNAutils: Functions to analyze copy number aberrations in single-cell data
norm_ge_tmm R Documentation
Normalize gene expression using TMM
Description
Normalize gene expression using TMM
Usage
norm_ge_tmm(ge_df, nb_cores = 1, rcpp = FALSE)
Arguments
ge_df
the input gene expression.
nb_cores
the number of processors to use.
rcpp
use Rcpp function. Default is FALSE. More memory-efficient and
faster when running on one core.
Value
a data.frame with the normalized expression.
Author(s)
Jean Monlong
jmonlong/scCNAutils documentation built on May 3, 2022, 4:34 a.m.
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| norm_ge_tmm | R Documentation |
Normalize gene expression using TMM
Description
Normalize gene expression using TMM
Usage
norm_ge_tmm(ge_df, nb_cores = 1, rcpp = FALSE)
Arguments
ge_df |
the input gene expression. |
nb_cores |
the number of processors to use. |
rcpp |
use Rcpp function. Default is FALSE. More memory-efficient and faster when running on one core. |
Value
a data.frame with the normalized expression.
Author(s)
Jean Monlong
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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