Intrinsic dimensionality of single-cell transcriptomic data reveals potency landscapes during cell reprogramming
Maddalena Staiano, Niccolò Cirone, Marta Biondo, Matteo Osella, Antonio Scialdone
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.
bioRxiv · Jul 21, 2025 · PreprintSystems Biology