expression_filtering: Utility function to filter out low-expressed genes
In NelleV/moanin: An R Package for Time Course RNASeq Data Analysis
Description
Usage
Arguments
Value
View source: R/normalization.R
Description
Utility function to filter out low-expressed genes
Usage
1
expression_filtering(counts, min_counts = 20, min_samples = 3)
Arguments
counts
n by p matrix containing the count data.
min_counts
integer, corresponding to the minimum number of counts for
the gene to be considered expressed in a sample. Default is 20.
min_samples
integer, corresponding to the minimum of samples for a
gene to be expressed to be included in downstream analyses.
Value
The filtered counts matrix
NelleV/moanin documentation built on July 28, 2021, 7:34 p.m.
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Description Usage Arguments Value
View source: R/normalization.R
Description
Utility function to filter out low-expressed genes
Usage
1 | expression_filtering(counts, min_counts = 20, min_samples = 3)
|
Arguments
counts |
n by p matrix containing the count data. |
min_counts |
integer, corresponding to the minimum number of counts for the gene to be considered expressed in a sample. Default is 20. |
min_samples |
integer, corresponding to the minimum of samples for a gene to be expressed to be included in downstream analyses. |
Value
The filtered counts matrix
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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