PCA - Bulk RNA-seq

Principal component analysis (PCA) visualizes sample-to-sample variation in high-dimensional gene expression space. In this example, PCA clearly separates control and treatment groups along the first principal component, reflecting major transcriptomic differences due to experimental conditions.

• PC1 explains 45.3% of the variance
• PC2 explains 18.7% of the variance
• Ellipses indicate 95% confidence intervals per group