Niccolò Cirone

This study applies intrinsic dimension analysis to single-cell transcriptomic data to capture expression trajectories and define a cell potency score across species and differentiation processes.

The paper introduces IDEAS, a tool for computing intrinsic dimensionality from scRNA-seq data to assess cell potency without clustering, and applies it to reprogramming datasets to study potency changes and trajectories.