how to make normalization for your data in graphpad prism 8

The data for this tutorial comes from Fu et al.

The file used here was generated from limma-voom but you could use a file from any RNA-seq differential expression tool, such as edgeR or DESeq2, as long as it has the required columns (see below). To generate this file yourself, see the RNA-seq counts to genes tutorial. To generate a volcano plot of RNA-seq results, we need a file of differentially expressed results which is provided for you here. In a volcano plot, the most upregulated genes are towards the right, the most downregulated genes are towards the left, and the most statistically significant genes are towards the top. These may be the most biologically significant genes. It enables quick visual identification of genes with large fold changes that are also statistically significant. A volcano plot is a type of scatterplot that shows statistical significance (P value) versus magnitude of change (fold change). Volcano plots are commonly used to display the results of RNA-seq or other omics experiments.

How to make normalization for your data in graphpad prism 8