normalize.rle: RLE (relative log expression)
In jhsiao999/ashbun: Methods and evaluation tools for single cell RNA-seq count data
Description
Usage
Arguments
Value
Description
DESeq was used to implement RLE. Note that we chose to use the implementation by
the developer of the method. edgeR also implments a version of RLE, which gives
different results: (calcNormFactors(method = "RLE"))
Usage
1
normalize.rle(counts, control = list(NULL))
Arguments
counts
Gene by sample expression count matrix (G by N).
Value
libsize_factors numeric vector of the scale factors for library size.
jhsiao999/ashbun documentation built on May 8, 2019, 11:17 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
DESeq was used to implement RLE. Note that we chose to use the implementation by the developer of the method. edgeR also implments a version of RLE, which gives different results: (calcNormFactors(method = "RLE"))
Usage
1 | normalize.rle(counts, control = list(NULL))
|
Arguments
counts |
Gene by sample expression count matrix (G by N). |
Value
libsize_factors numeric vector of the scale factors for library size.
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.