Computational Identification of Preneoplastic Cells Displaying High Stemness and Risk of Cancer Progression

Abstract

This study develops a computational strategy to dissect the heterogeneity of differentiation states within a preneoplastic cell population, allowing identification of stem-like cells that may drive cancer progression.