Data analysis in toxicology involves several steps, including data preprocessing, statistical analysis, and interpretation. Techniques such as bioinformatics and computational modeling are often employed to manage and analyze complex datasets. This analysis helps in identifying patterns, correlations, and potential causal relationships between exposure and observed effects.
