a b/man/all_degs_venn.Rd
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/data.R
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\docType{data}
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\name{all_degs_venn}
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\alias{all_degs_venn}
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\title{All DEGs Venn Diagram Data}
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\format{
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A list with the following components:
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\describe{
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  \item{DESeq2}{A vector of gene IDs or gene symbols identified as DEGs by the DESeq2 method.}
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  \item{edgeR}{A vector of gene IDs or gene symbols identified as DEGs by the edgeR method.}
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  \item{limma}{A vector of gene IDs or gene symbols identified as DEGs by the limma method. }
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  \item{Wilcoxon_test}{A vector of gene IDs or gene symbols identified as DEGs by the Wilcoxon test method. }
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}
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}
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\source{
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The data was derived from differential expression analyses performed on a gene expression dataset using four commonly used statistical methods (DESeq2, edgeR, limma, and Wilcoxon test).
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}
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\usage{
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data(all_degs_venn)
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}
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\description{
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A dataset containing the differentially expressed genes (DEGs) from four different statistical analysis methods: DESeq2, edgeR, limma, and Wilcoxon test.
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This dataset is used for generating Venn diagrams to compare the overlap of DEGs identified by different methods.
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}
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\examples{
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data(all_degs_venn)
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# Example of plotting a Venn diagram using the dataset
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edge_colors <- c("#1b62bb","#13822e","#332c3a","#9e2d39")
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name_color <- c("#1b64bb","#13828e","#337c3a","#9e9d39")
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fill_colors <- c("#e3f2fa", "#0288d1")
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Contrast_degs_venn <- Contrast_Venn(all_degs_venn, edge_colors, name_color, fill_colors)
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}
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\keyword{datasets}