5 datasets found

The dataset used in the paper is a combination of perturbation screens and steady-state gene expression data.

The dataset is a collection of gene regulatory networks (GRNs) with high fitness, used to investigate the evolution of mutational robustness and bistability.

The dataset is a reference ensemble of gene regulatory networks (GRNs) generated using the multicanonical Monte Carlo method. The ensemble is used to compare with the outcomes...

Gene expression levels can be accurately predicted from methylation state of a promoter region and a GRN.

SERGIO is a technique for simulating single-cell RNA sequencing dynamics using stochastic differential equations.