Why is Data Preprocessing Important in Cancer Research?
Cancer datasets are often large, heterogeneous, and noisy. Proper data preprocessing helps in dealing with missing values, outliers, and inconsistencies, making the data more reliable for statistical analysis and predictive modeling.
