algorithms

Learning Genetic Regulatory Network Connectivity from Time Series Data

Recent experimental advances facilitate the collection of time series data that indicate which genes in a cell are expressed. This information can be used to understand the genetic regulatory network that generates the data. Typically, Bayesian …

Production-passage-time approximation: a new approximation method to accelerate the simulation process of enzymatic reactions

Given the substantial computational requirements of stochastic simulation, approximation is essential for efficient analysis of any realistic biochemical system. This paper introduces a new approximation method to reduce the computational cost of …