filter_pvalues: Filter GO enrichment results using a p-value cutoff
In vitalinakomashko/parallelGO: Parallel Implementation for Extraction of GO Results
Description
Usage
Arguments
Value
See Also
View source: R/filter_pvalues.R
Description
filter_pvalues takes a data frame with the results of GO enrichment
analysis and performs row filtering based on provided cutoff value.
The data can be filtered either using the raw (pvalue column) or the
adjusted (default) p-values (p_bonferroni column).
Usage
1
filter_pvalues(dat, which_pvalue = "adjusted", cutoff)
Arguments
dat
Data frame with the results of GO enrichment analysis.
which_pvalue
A character string specifying p-value for filtering.
Must of one of two: "raw" or "adjusted"
cutoff
A numeric value specifying the cutoff. All rows with p-values
that are less or equal to the cutoff will be retained.
Value
Data frame.
See Also
vitalinakomashko/parallelGO documentation built on May 18, 2019, 1:32 p.m.
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Description Usage Arguments Value See Also
View source: R/filter_pvalues.R
Description
filter_pvalues takes a data frame with the results of GO enrichment
analysis and performs row filtering based on provided cutoff value.
The data can be filtered either using the raw (pvalue column) or the
adjusted (default) p-values (p_bonferroni column).
Usage
1 | filter_pvalues(dat, which_pvalue = "adjusted", cutoff)
|
Arguments
dat |
Data frame with the results of GO enrichment analysis. |
which_pvalue |
A character string specifying p-value for filtering. Must of one of two: "raw" or "adjusted" |
cutoff |
A numeric value specifying the cutoff. All rows with p-values that are less or equal to the cutoff will be retained. |
Value
Data frame.
See Also
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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