The application of PCA in toxicology offers numerous benefits:
Data Reduction: Toxicological datasets can be vast, containing information from various chemical exposures, biological endpoints, and environmental factors. PCA helps in reducing the number of variables, making the data more manageable and interpretable. Pattern Recognition: PCA can reveal patterns or clusters within toxicological data, aiding in the identification of common factors or responses among different chemicals or organisms. Noise Reduction: By focusing on the principal components, PCA filters out noise and highlights meaningful variations, improving the robustness of toxicological analyses.
