Trzy metody analizy różnicowej ekspresji do sekwencjonowania RNA: limma, EdgeR, DESeq2

🧬 Omics data analysis with R, especially RNA-Seq, begins by turning raw sequencing counts into comparable expression measures. Using DESeq2, this leads naturally into differential gene expression analysis, where true biological changes are separated from noise. 📊 The results take shape through MA plots that show expression trends and volcano plots that highlight the most significant genes. 💻🧬 Are you from a life sciences background but want to finally get comfortable with data analysis using

Exploratory differential gene expression analysis