Data analysis is crucial for transforming raw data into actionable insights. Techniques such as bioinformatics, statistical analysis, and machine learning are employed to identify patterns, correlations, and causal relationships. Advanced analytics can help in predicting patient responses to treatments, identifying new drug targets, and understanding the mechanisms of cancer progression.
