norm_ge_total: Normalize gene expression using total expression
In jmonlong/scCNAutils: Functions to analyze copy number aberrations in single-cell data
View source: R/norm_ge_total.R
norm_ge_total R Documentation
Normalize gene expression using total expression
Description
Normalize gene expression using total expression
Usage
norm_ge_total(ge_df, nb.cores = 1)
Arguments
ge_df
the input gene expression
nb.cores
the number of processors to use.
Value
a data.frame with the normalized expression.
Author(s)
Jean Monlong
jmonlong/scCNAutils documentation built on May 3, 2022, 4:34 a.m.
R Package Documentation
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View source: R/norm_ge_total.R
| norm_ge_total | R Documentation |
Normalize gene expression using total expression
Description
Normalize gene expression using total expression
Usage
norm_ge_total(ge_df, nb.cores = 1)
Arguments
ge_df |
the input gene expression |
nb.cores |
the number of processors to use. |
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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