MevA-X is a Hybrid Multi-Objective Evolutionary Tool Using an XGBoost Classifier for Biomarkers Discovery on Biomedical Datasets.
The performance of the MEvA-X tool was benchmarked using one omics dataset coming from a microarray gene expression experiment, and one clinical questionnaire-based dataset combined with demographic information.
The implementation of MEvA-X tool is available at Github: https://github.com/PanKonstantinos/MEvA-X.