Sriporna Biswas

The paper uses single-cell RNA-seq and explainable AI to identify transcriptional features distinguishing invasive from non-invasive TNBC cells in a cell line, finding EMT-related and inflammatory genes as key predictors.

This paper evaluates machine learning models to classify breast cancer stages using gene expression data and identifies co-expressed genes associated with stage, though results are limited by small sample size and lack of external validation.