Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
-
Updated
Nov 18, 2024 - Julia
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.
Tools to generate and study moment equations for any chemical reaction network using various moment closure approximations
SBML differential equation and chemical reaction model (Gillespie simulations) for Julia's SciML ModelingToolkit
Julia interface to the Systems Biology Markup Language (SBML) library
Finite State Projection algorithms for chemical reaction networks
LikelihoodProfiler is a Julia package for practical identifiability analysis and confidence intervals evaluation.
DelaySSAToolkit.jl: a tool in Julia for stochastic simulation with delays
Package for modeling glycolysis activity
Interface between the Systems Biology Markup Language and Julia
Network inference for gene expression using gradient matching. Final research project as part of the MSc in Bioinformatics and Theorectical Systems Biology at Imperial College London 2016/2017.
Parameter Estimation of ODE/DDE Models in Julia
Developed a registered Julia package which quantifies the redundancies in genome-scale metabolic networks and provides local sparse certificates which are both efficiently verifiable and interpretable
A package for researchers working with biological oscillations
This package simplifies evolutionary algorithms for applications in systems biology. It can be used to generate oscillating reaction networks, networks that match input timeseries data, or fit parameters (rateconstants).
Imoto, H. & Okada, M. Signal-dependent regulation of early-response genes and cell cycle: a quantitative view. Curr. Opin. Syst. Biol. 15, 100–108 (2019).
General tools for gene regulatory circuits modeling.
Julia interface to BioMASS
Reconstruct a Transcriptional Regulatory Network using the principle of Maximum Entropy.
Inoue, K. et al. Oscillation dynamics underlie functional switching of NF-κB for B-cell activation. npj Syst. Biol. Appl. 2, 16024 (2016).
Add a description, image, and links to the systems-biology topic page so that developers can more easily learn about it.
To associate your repository with the systems-biology topic, visit your repo's landing page and select "manage topics."