Why is Data Manipulation Important in Cancer Research?
Data manipulation is essential in cancer research due to the complexity and volume of the data involved. Cancer datasets are often large and multifaceted, encompassing genomic, proteomic, clinical, and epidemiological data. Proper manipulation of these datasets allows researchers to identify [biomarkers](#), understand [drug resistance](#), and predict patient responses to treatments. Without effective data manipulation, it would be challenging to derive actionable insights from the raw data.
