Improved reconstruction of single-cell developmental potential with CytoTRACE 2.

ABSTRACT: While single-cell RNA sequencing has advanced our understanding of cell fate, identifying molecular hallmarks of potency-a cell's ability to differentiate into other cell types-remains a challenge. Here we introduce CytoTRACE 2, an interpretable deep learning framework for predicting absolute developmental potential from single-cell RNA sequencing data. Across diverse platforms and tissues, CytoTRACE 2 outperformed previous methods in predicting developmental hierarchies, enabling detailed mapping of single-cell differentiation landscapes and expanding insights into cell potency.

SUBMITTER: Kang M 

PROVIDER: S-EPMC12615260 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature