Comprehensive Feature Selection and Biological Relevance Analysis in Multi-Disease Gene Expression Data

Supervisor: Dr. Mohammad Saifur Rahman

  • In this work, I have undertaken a comprehensive gene expression analysis of microarray cancer datasets, employing advanced techniques such as feature engineering and machine learning ensembles.
  • By integrating SHAP (SHapley Additive exPlanations) and conducting enrichment analysis, I have provided a robust framework for interpreting the results, contributing valuable insights into the complex landscape of cancer genetics

Github repository