filter_genes: Filter genes
In jgockley62/UW_RNASeq: Identify differentially expressed genes counts data
Description
Remove genes that have less than 1 counts per million (cpm) in at least 50
of samples per condition. If a biomaRt object is provided, gene lengths and
gene GC content is required and genes with missing values are also removed.
Usage
1
filter_genes(md, count_df, conditions)
Arguments
md
A data frame with sample identifiers in a column and relevant experimental covariates.
count_df
A counts data frame with sample identifiers as rownames.
conditions
Conditions to bin gene counts that correspond to variables in 'md'.
jgockley62/UW_RNASeq documentation built on Oct. 1, 2020, 8:07 p.m.
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Description
Remove genes that have less than 1 counts per million (cpm) in at least 50 of samples per condition. If a biomaRt object is provided, gene lengths and gene GC content is required and genes with missing values are also removed.
Usage
1 | filter_genes(md, count_df, conditions)
|
Arguments
md |
A data frame with sample identifiers in a column and relevant experimental covariates. |
count_df |
A counts data frame with sample identifiers as rownames. |
conditions |
Conditions to bin gene counts that correspond to variables in 'md'. |
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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