BioNetGMMFit: estimating parameters of a BioNetGen model from time-stamped snapshots of single cells.

ABSTRACT: Mechanistic models are commonly employed to describe signaling and gene regulatory kinetics in single cells and cell populations. Recent advances in single-cell technologies have produced multidimensional datasets where snapshots of copy numbers (or abundances) of a large number of proteins and mRNA are measured across time in single cells. The availability of such datasets presents an attractive scenario where mechanistic models are validated against experiments, and estimated model parameters enable quantitative predictions of signaling or gene regulatory kinetics. To empower the systems biology community to easily estimate parameters accurately from multidimensional single-cell data, we have merged a widely used rule-based modeling software package BioNetGen, which provides a user-frien

SUBMITTER: Wu J 

PROVIDER: S-EPMC10516955 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature