ScTIDE: Deciphering Critical Transitions Through Cell-Perturbed Manifold Graphs and Optimal Transport Conditional Flow Matching.

ABSTRACT: A tipping point marks the threshold or critical state where a biological system shifts from one stable state to another. Deciphering critical transitions and their associated signaling molecules is essential for elucidating complex biological processes and for enabling timely interventions to avert or postpone catastrophic deteriorations. However, existing critical-state detection methods rely mainly on Euclidean-space statistics, which may overlook nonlinear dynamical behavior among molecules and distribution-based molecular patterns, leading to limited robustness and performance in high-dimensional, sparse, and noisy single-cell data. In this study, we introduce single-cell Tipping-point Identification via Distributional Embedding (scTIDE), a framework that integrates manifold-based grap

SUBMITTER: Zhong J 

PROVIDER: S-EPMC13384040 | biostudies-literature | 2026 Oct

REPOSITORIES: biostudies-literature