Data transformation in cancer research involves converting raw data into a more useful format for analysis, visualization, and interpretation. This process is crucial as it helps researchers understand complex biological processes, identify biomarkers, and develop personalized treatment plans. The transformation can include normalization, scaling, and converting data types, among other techniques.
