gene2rpkm: gene2rpkm outputs the rpkm normalizations of the...
In kkang7/CDSeq_R_Package: A Complete Deconvolution Method using Sequencing Data
Description
Usage
Arguments
Value
Description
gene2rpkm outputs the rpkm normalizations of the CDSeq-estimated GEPs.
gene2rpkm outputs the rpkm normalizations of the CDSeq-estimated GEPs.
Usage
1
gene2rpkm(gene_rate, gene_effective_length, cell_line_counts)
Arguments
gene_rate
CDSeq-estimated GEP normalized by gene length.
gene_effective_length
gene effective length which is the gene length minus the read length plus one.
cell_line_counts
RNA-Seq read counts data of cell lines
Value
gene2rpkm returns rpkm normalization of the CDSeq-estimated GEPs.
kkang7/CDSeq_R_Package documentation built on May 4, 2021, 8:12 p.m.
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.
Description Usage Arguments Value
Description
gene2rpkm outputs the rpkm normalizations of the CDSeq-estimated GEPs.
gene2rpkm outputs the rpkm normalizations of the CDSeq-estimated GEPs.
Usage
1 | gene2rpkm(gene_rate, gene_effective_length, cell_line_counts)
|
Arguments
gene_rate |
CDSeq-estimated GEP normalized by gene length. |
gene_effective_length |
gene effective length which is the gene length minus the read length plus one. |
cell_line_counts |
RNA-Seq read counts data of cell lines |
Value
gene2rpkm returns rpkm normalization of the CDSeq-estimated GEPs.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.