Overview | Prepare the measurements | Test the eigenvalue spectrum | Interpret the retained component | What about eigenvalues below the lower bound? | Practical considerations | References

Overview | Start from the morphological measurements | Fit the conventional PCA | Test the eigenvalue spectrum | Interpret the retained structure | What about eigenvalues below the lower bound? | Practical considerations | References

Introduction | Example 1: Parse a single KEGG pathway | Example 2: Add gene annotations | Example 3: Visualize your pathway | Alternative layout using ggraph: | Example 4: Combine pathways and connect to your network science pipeline

Introduction | Basic Example: White Noise | Example: Latent Signal | Optional: Permutation-Based p-values | Interpretation | References