This project develops a machine learning model to classify individuals as healthy, having rheumatoid arthritis (RA), or systemic lupus erythematosus (SLE) using RNA-Seq gene expression data. The project also identifies significant genes as potential biomarkers, leveraging SGDClassifier and XGBoost models.

Investigation of Domains of Coordinated Expression (DCEs) using genome-wide transcriptome profiles from Systemic Lupus Erythematosus patients undergoing Belimumab/Benlysta treatment.