In this study, we present a framework for the simulation of smFISH images with non-random mRNA localization patterns and methods for their computational analysis.
Here, we present a general framework for the simulation of axon guidance together with novel numerical methods for carrying out the simulations.
Therefore, alternative modeling frameworks, such as Monte Carlo simulations [ 5] and flux balance analysis (FBA) [ 6], have been developed for the simulation of the cellular metabolism.
As the modeling framework for the simulation, we chose Hybrid Functional Petri Net (HFPN [ 52]) because it can capture both discrete and continuous behaviors of proteins and other molecules simultaneously in a single simulation model.
However, the framework is primarily intended for network planning, and specifically for the simulation of development schemes and operating plans.
The book provides both practical methods for contact/collision simulation essential for the simulation of humanoid robots and virtual characters and a general framework for online, interactive motion generation of human figures based on the dynamics simulation algorithms.
We also present a framework for simulation based testing of the ability of difference in DIC to choose between models with and without genetic effects.
Our simulation data was generated by a Python script which we developed using Python 2.6 and based on simuPOP (version 1.0.3) [ 24] which is an open source framework for forward simulation of population genetics.
MCM is a mathematical and computational framework for the construction, simulation, statistical analysis and calibration of microbial community models.
Corbitt, T., Chen, Y. & Mavalvala, N. Mathematical framework for simulation of quantum fields in complex interferometers using the two-photon formalism.
