155-AAnet Defines Triple-Negative Breast Cancer Archetypes

Paper Talk · Oct 22, 2025 · 17m

This paper introduces AAnet, a novel neural network method for Archetypal Analysis (AA) designed to resolve the continuous, spatially localized cell states that characterize intratumoral heterogeneity, especially in cancer. The authors developed AAnet to overcome the limitations of traditional methods like clustering and linear AA when dealing with the highly nonlinear geometry of single-cell RNA sequencing (scRNA-seq) data, allowing it to learn extreme cellular states ("archetypes" or ATs) and map cells as a convex combination of these ATs in a latent space. Applying AAnet to a…