make.cutoff.plotly: 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 to produce an interactibe visual object
which depicts the number of differntially expressed genes with different FDR and
fold change cutoff.
Usage
1
Arguments
df
Summary statistics table from limma or DEseq2, where each row is a gene.
RVA documentation built on Nov. 2, 2021, 1:06 a.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
This function processes summary statistics table generated by differential expression analysis
like limma or DESeq2 to produce an interactibe visual object
which depicts the number of differntially expressed genes with different FDR and
fold change cutoff.
Usage
1 |
Arguments
df |
Summary statistics table from limma or DEseq2, where each row is a gene. |
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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