Why is Preprocessing Important in Cancer Research?
Cancer research often deals with vast and complex datasets, including genomic sequences, clinical trial results, and patient records. Preprocessing is essential to: - Remove noise and errors from the data. - Handle missing values. - Normalize or standardize data to ensure consistency. - Enhance the accuracy of predictive models.
