Jean Abraham

The paper benchmarks 22 multi-omic methods on breast cancer data to identify reliable clustering approaches and provides a decision workflow for selecting methods based on study goals and data characteristics.

This paper introduces RECODR, a computational pipeline that tracks transcriptome changes in cancer development and treatment to predict resistance mechanisms and design effective therapies.

REM extracts interpretable rules from deep learning and non-deep learning models to enhance explainability in healthcare decision-making.