plot_cutoff_single: Create plotly object for number of DE genes at different...
In RVA: RNAseq Visualization Automation
Description
This function processes summary statistics table generated by differential expression analysis
like limma or DESeq2 and produces a table which contains gene counts
for each of the pvalue and FC combination
Usage
1
plot_cutoff_single(datin, FCflag, FDRflag, FCs, pvalues)
Arguments
datin
Summary statistics table from limma or DEseq2, where each row is a gene.
FCflag
The column name of the log2FC in the summary statistics table.
FDRflag
The column name of the False Discovery Rate (FDR) in the summary statistics table.
FCs
A set of fold change cutoff to be checked.
pvalues
A set of p-values for FDR cutoff to be checked.
RVA documentation built on Nov. 2, 2021, 1:06 a.m.
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Description
This function processes summary statistics table generated by differential expression analysis
like limma or DESeq2 and produces a table which contains gene counts
for each of the pvalue and FC combination
Usage
1 | plot_cutoff_single(datin, FCflag, FDRflag, FCs, pvalues)
|
Arguments
datin |
Summary statistics table from limma or DEseq2, where each row is a gene. |
FCflag |
The column name of the log2FC in the summary statistics table. |
FDRflag |
The column name of the False Discovery Rate (FDR) in the summary statistics table. |
FCs |
A set of fold change cutoff to be checked. |
pvalues |
A set of p-values for FDR cutoff to be checked. |
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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