Why are Wrapper Methods Important in Cancer Research?
In cancer research, the datasets are often high-dimensional, containing a vast number of features from genomic, transcriptomic, proteomic, and clinical data. Wrapper methods help in identifying the most significant features that contribute to cancer diagnosis, prognosis, and treatment response. This is crucial for developing effective predictive models and personalized therapies.
