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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} |