The importance of data transformation cannot be overstated in cancer research. Raw data collected from various experiments is often noisy and inconsistent. Transforming this data ensures that it is clean, organized, and ready for statistical analysis. This step is critical for deriving meaningful insights, which can lead to breakthroughs in understanding cancer mechanisms and developing therapies.