What Are Common Issues Found During Code Reviews in Cancer Studies?
Common issues identified during code reviews in cancer studies include:
- Data Handling Errors: Incorrect data preprocessing or mishandling of missing values. - Algorithm Implementation Bugs: Flaws in the implementation of statistical or machine learning algorithms. - Performance Bottlenecks: Inefficient code that slows down processing of large datasets. - Lack of Documentation: Poorly documented code that is hard to understand and replicate. - Inconsistent Results: Differences in results when the code is run on different systems or datasets.
