Principal Component Analysis (PCA) for RNA-seq data verification.

PCA was employed to verify the sample separation in our RNA-seq analysis, specifically to distinguish between resistant and sensitive samples. After performing batch effect removal, the PCA clearly demonstrated the separation of resistant and sensitive samples, indicating distinct expression profiles. Although some samples within the resistant and sensitive groups did not cluster tightly together, the overall PCA results still highlighted significant differences between the resistant and sensitive samples. (PDF)