all_degs_venn | R Documentation |
A dataset containing the differentially expressed genes (DEGs) from four different statistical analysis methods: DESeq2, edgeR, limma, and Wilcoxon test. This dataset is used for generating Venn diagrams to compare the overlap of DEGs identified by different methods.
data(all_degs_venn)
A list with the following components:
A vector of gene IDs or gene symbols identified as DEGs by the DESeq2 method.
A vector of gene IDs or gene symbols identified as DEGs by the edgeR method.
A vector of gene IDs or gene symbols identified as DEGs by the limma method.
A vector of gene IDs or gene symbols identified as DEGs by the Wilcoxon test method.
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).
data(all_degs_venn)
# Example of plotting a Venn diagram using the dataset
edge_colors <- c("#1b62bb","#13822e","#332c3a","#9e2d39")
name_color <- c("#1b64bb","#13828e","#337c3a","#9e9d39")
fill_colors <- c("#e3f2fa", "#0288d1")
Contrast_degs_venn <- Contrast_Venn(all_degs_venn, edge_colors, name_color, fill_colors)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.