This project aims to identify molecular biomarkers unique to different subtypes of breast cancer using an integrated bioinformatics approach. By analyzing publicly available gene expression datasets and applying statistical and machine learning techniques, the study will pinpoint differentially expressed genes and pathways associated with each subtype