process_counts: Pre-processing of counts
In anilchalisey/parseR: Pipeline for Analysis of RNA-seq in R
Description
Usage
Arguments
Value
Examples
View source: R/process_counts.R
Description
Function to proces raw counts before differential analysis.
Removes counts below the counts-per-million threshold set by the user and
generates diagnostic plots showing the count distribution before and after.
Usage
1
process_counts(se = NULL, cpm.cutoff = 1)
Arguments
se
SummarizedExperiment object containing count matrix.
cpm.cutoff
The counts-per-million threshold for filtering counts.
Value
SummarizedExperiment object containing the raw and filtered counts.
Examples
1
2
3
4
## Not run:
filtered_se <- process_counts(se = se, cpm.cutoff = 1)
## End(Not run)
anilchalisey/parseR documentation built on May 7, 2019, 7:45 a.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 Examples
View source: R/process_counts.R
Description
Function to proces raw counts before differential analysis. Removes counts below the counts-per-million threshold set by the user and generates diagnostic plots showing the count distribution before and after.
Usage
1 | process_counts(se = NULL, cpm.cutoff = 1)
|
Arguments
se |
SummarizedExperiment object containing count matrix. |
cpm.cutoff |
The counts-per-million threshold for filtering counts. |
Value
SummarizedExperiment object containing the raw and filtered counts.
Examples
1 2 3 4 | ## Not run:
filtered_se <- process_counts(se = se, cpm.cutoff = 1)
## End(Not run)
|
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.