What is the Future of Filter Methods in Cancer Research?
As the volume of biomedical data continues to grow, the need for efficient and accurate feature selection methods will become increasingly important. Future advancements may involve the integration of filter methods with other techniques like wrapper and embedded methods to improve their effectiveness. Additionally, the development of more sophisticated statistical techniques and machine learning algorithms will further enhance the ability of filter methods to identify meaningful features in complex cancer datasets.
