Python 3.7.4 simulation code and scripts reproducing all figures in Landmann, Holmes, Tikhonov (2021) "A simple regulatory architecture allows learning the statistical structure of a changing environment". Optional pre-computed simulation data included to speed-up figure plotting; remove or rename any data file to rerun the relevant simulations from scratch. Code by Stefan Landmann
<div><p>The example model M in (A) contains genes for three transcription factors and two enzymes an...
mdciao is a Python module that provides quick, “one-shot” command-line tools to analyze molecular si...
This example is the best starting point to understand the simulator’s software interface and a compr...
Python 3.7.4 simulation code and scripts reproducing all figures in Landmann, Holmes, Tikhonov (2021...
MatLab simulation code and scripts reproducing all figures in Tikhonov, Kachru, Fisher (2019), "Mode...
This repository contains C++ code, simulated datasets, an R-script for data analysis and a Mathemati...
# Data and Scripts for "Machine learning the electronic structure of matter across temperatures" Th...
This package vignette is a modified version of Alfons et al. (2010d), published in the Journal of St...
The repository contains the package necessary for the simulations (py-phasesep) in the paper 'Contro...
This archive contains Python code for simulating populations using the package simuPOP, plus additio...
Simulation comprise a family of powerful and versatile quantitative techniques for investigating com...
This is the Python code written to make the figures of the paper by Silvy et al. entitled "A modelin...
A simulation is an orchestrated series of operations used to model the behaviour of a system. The sy...
Code for compiling and analyzing the output of the simulations in Simulations.r, and plot the figure...
Supercoiling-mediated feedback simulation dataset Background These files represent simulation datas...
<div><p>The example model M in (A) contains genes for three transcription factors and two enzymes an...
mdciao is a Python module that provides quick, “one-shot” command-line tools to analyze molecular si...
This example is the best starting point to understand the simulator’s software interface and a compr...
Python 3.7.4 simulation code and scripts reproducing all figures in Landmann, Holmes, Tikhonov (2021...
MatLab simulation code and scripts reproducing all figures in Tikhonov, Kachru, Fisher (2019), "Mode...
This repository contains C++ code, simulated datasets, an R-script for data analysis and a Mathemati...
# Data and Scripts for "Machine learning the electronic structure of matter across temperatures" Th...
This package vignette is a modified version of Alfons et al. (2010d), published in the Journal of St...
The repository contains the package necessary for the simulations (py-phasesep) in the paper 'Contro...
This archive contains Python code for simulating populations using the package simuPOP, plus additio...
Simulation comprise a family of powerful and versatile quantitative techniques for investigating com...
This is the Python code written to make the figures of the paper by Silvy et al. entitled "A modelin...
A simulation is an orchestrated series of operations used to model the behaviour of a system. The sy...
Code for compiling and analyzing the output of the simulations in Simulations.r, and plot the figure...
Supercoiling-mediated feedback simulation dataset Background These files represent simulation datas...
<div><p>The example model M in (A) contains genes for three transcription factors and two enzymes an...
mdciao is a Python module that provides quick, “one-shot” command-line tools to analyze molecular si...
This example is the best starting point to understand the simulator’s software interface and a compr...