Extracting High-Quality Features From Biomedical Datasets Using Multimodal Autoencoders

Interpretable TCGA-BRCA RNA-seq breast cancer subtype classification with ML, SHAP, pathway enrichment, and METABRIC external validation.

Transcriptomics-based METABRIC PAM50 breast cancer subtype classification with a reproducible Python ML pipeline.

METABRIC breast cancer survival analysis & ML workflow. Features KM curves, Cox models, Decision Trees, RFs, risk calibration, and Decision Curve Analysis.

Repository for CSC-690-003-2026S: Symbolic & Neuro-Symbolic AI, an independent study course.