Analyzing toxicology data involves various statistical and computational methods. Dose-response relationships are often explored to understand the correlation between the dose of a substance and its adverse effects. Biomarkers are also analyzed to assess exposure and effects. Techniques such as high-throughput screening and bioinformatics are increasingly used to handle large datasets and derive meaningful conclusions.
