Prapthi Sarkar

The paper evaluates a tumor-budding-associated gene signature across bulk and single-cell RNA-seq data, finding stronger co-expression in single-cell data.

This study develops a machine learning framework to predict CRC stage transitions using tissue-derived transcriptomic signatures and evaluates their performance in blood-based datasets.