Article

CycleGRN: Inferring Gene Regulatory Networks from Cyclic Flow Dynamics in Single-Cell RNA-seq

2025-11-13

Abstract excerpt

Oscillatory processes such as the cell cycle play critical roles in cell fate determination and disease development, yet existing gene regulatory network (GRN) inference methods often fail to account for their dynamic nature. We propose CycleGRN , a novel framework that treats cell cycle gene expression observations as an invariant measure of a stochastic differential equation and learns from data a dynamical sys...

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Literature Corpus work: fd1a1e10-2532-5d54-946d-17d594ceaf70
DOI: 10.1101/2025.11.12.688126

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