1. Data Querying: Allowing researchers to run complex queries to extract meaningful information. 2. Data Mining: Facilitating data mining techniques to uncover patterns and trends in large datasets. 3. Machine Learning: Integrating with machine learning tools to develop predictive models for cancer prognosis and treatment outcomes. 4. Visualization: Providing tools for data visualization to help in interpreting and presenting research findings.
