FIERCE: reconstructing dynamic trajectories from the differentiation potency of single cells.

FIERCE accurately reconstructs cellular differentiation trajectories without prior assumptions, outperforming existing methods in complex systems.

• Why it matters: Understanding dynamic cellular processes is crucial for developmental biology and disease research, but current methods depend on assumptions that limit their applicability to complex, poorly understood systems.
• What they did: FIERCE employs an unsupervised computational pipeline that infers changes in cell differentiation potency directly from single-cell RNA sequencing data, without requiring prior knowledge of developmental structure.
• The result: FIERCE successfully reconstructed three mouse differentiation systems and demonstrated high accuracy on simulated data, enabling more flexible analysis of cellular development pathways.