All Projects → darrenjw → smfsb

darrenjw / smfsb

Licence: GPL-3.0 License
Documentation, models and code relating to the 3rd edition of the textbook Stochastic Modelling for Systems Biology

Programming Languages

AMPL
153 projects

Projects that are alternatives of or similar to smfsb

SBMLToolkit.jl
SBML differential equation and chemical reaction model (Gillespie simulations) for Julia's SciML ModelingToolkit
Stars: ✭ 25 (-7.41%)
Mutual labels:  systems-biology, sbml, gillespie-algorithm
parPE
Parameter estimation for dynamical models using high-performance computing, batch and mini-batch optimizers, and dynamic load balancing.
Stars: ✭ 16 (-40.74%)
Mutual labels:  systems-biology, sbml
go-topics
Latent Dirichlet Allocation
Stars: ✭ 23 (-14.81%)
Mutual labels:  inference, mcmc
CNApy
An integrated visual environment for metabolic modeling with common methods such as FBA, FVA and Elementary Flux Modes, and advanced features such as thermodynamic methods, extended Minimal Cut Sets, OptKnock, RobustKnock, OptCouple and more!
Stars: ✭ 27 (+0%)
Mutual labels:  systems-biology, sbml
EscherConverter
A standalone program that reads files created with the graphical network editor Escher and converts them to files in community standard formats.
Stars: ✭ 14 (-48.15%)
Mutual labels:  systems-biology, sbml
sbml-test-suite
The SBML Test Suite is a conformance testing system. It allows developers and users to test the degree and correctness of the SBML support provided in a software package.
Stars: ✭ 21 (-22.22%)
Mutual labels:  systems-biology, sbml
newt
A web application to visualize and edit pathway models
Stars: ✭ 46 (+70.37%)
Mutual labels:  systems-biology, sbml
MomentClosure.jl
Tools to generate and study moment equations for any chemical reaction network using various moment closure approximations
Stars: ✭ 34 (+25.93%)
Mutual labels:  systems-biology, gillespie-algorithm
serving-runtime
Exposes a serialized machine learning model through a HTTP API.
Stars: ✭ 15 (-44.44%)
Mutual labels:  inference
Torsten
library of C++ functions that support applications of Stan in Pharmacometrics
Stars: ✭ 38 (+40.74%)
Mutual labels:  mcmc
onnxruntime backend
The Triton backend for the ONNX Runtime.
Stars: ✭ 40 (+48.15%)
Mutual labels:  inference
pathway-mapper
PathwayMapper: An interactive and collaborative graphical curation tool for cancer pathways
Stars: ✭ 47 (+74.07%)
Mutual labels:  systems-biology
gaze-estimation-with-laser-sparking
Deep learning based gaze estimation demo with a fun feature :-)
Stars: ✭ 32 (+18.52%)
Mutual labels:  inference
findr
Fast Inference of Networks from Directed Regulations
Stars: ✭ 19 (-29.63%)
Mutual labels:  systems-biology
hoice
An ICE-based predicate synthesizer for Horn clauses.
Stars: ✭ 41 (+51.85%)
Mutual labels:  inference
pyaneti
A multi-planet Radial Velocity and Transit modelling software
Stars: ✭ 26 (-3.7%)
Mutual labels:  mcmc
caffe
This fork of BVLC/Caffe is dedicated to supporting Cambricon deep learning processor and improving performance of this deep learning framework when running on Machine Learning Unit(MLU).
Stars: ✭ 40 (+48.15%)
Mutual labels:  inference
BayesianTutorials
Implementing MCMC sampling from scratch in R for various Bayesian models
Stars: ✭ 75 (+177.78%)
Mutual labels:  mcmc
mc3
Python MCMC Sampler
Stars: ✭ 25 (-7.41%)
Mutual labels:  mcmc
causaldag
Python package for the creation, manipulation, and learning of Causal DAGs
Stars: ✭ 82 (+203.7%)
Mutual labels:  inference

SMfSB 3e

SMfSB3e

Documentation, models and code relating to the 3rd edition of the textbook Stochastic Modelling for Systems Biology

This page contains links, code snippets, software and other information relating to the third edition of the book, Stochastic Modelling for Systems Biology, published by Chapman & Hall/CRC, November 2018.

The book has ISBN-10 113854928-2 and ISBN-13 978-113854928-9. It can be ordered from CRC Press, Amazon.com, Amazon.co.uk and similar book sellers.

New in the third edition

  • New chapter on spatially extended systems, covering the spatial Gillespie algorithm for reaction diffusion master equation (RDME) models in 1- and 2-d, the next subvolume method, spatial CLE, scaling issues, etc.
  • Significantly expanded chapter on inference for stochastic kinetic models from data, covering approximate methods of inference (ABC), including ABC-SMC. The material relating to particle MCMC has also been improved and extended.
  • Updated R package, including code relating to all of the new material
  • New R package for parsing SBML models into simulatable stochastic Petri net models
  • New software library, written in Scala, replicating most of the functionality of the R packages in a fast, compiled, strongly typed, functional language

Links

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].