OneSC: a computational platform for recapitulating cell state transitions.

ABSTRACT:

Motivation

Computational modeling of cell state transitions has been a great interest of many in the field of developmental biology, cancer biology, and cell fate engineering because it enables performing perturbation experiments in silico more rapidly and cheaply than could be achieved in a lab. Recent advancements in single-cell RNA-sequencing (scRNA-seq) allow the capture of high-resolution snapshots of cell states as they transition along temporal trajectories. Using these high-throughput datasets, we can train computational models to generate in silico "synthetic" cells that faithfully mimic the temporal trajectories.

Results

Here we present OneSC, a platform that can simulate cell state transitions using systems of stochastic differential equations govern by a regulato

SUBMITTER: Peng D 

PROVIDER: S-EPMC11630913 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature