PDF Document

Source URL: www.cellml.org

Automatic Validation and Optimisation of Biological Models Jonathan Cooper St John’s College

Source URL: www.cs.ox.ac.uk

• Academia
• CellML
• Computing
• Mathematics
• Scientific modeling
• Computational science
• Scientific modelling
• Simulation
• Computer simulation
• Economic model
• Mathematical model
• Quantitative analyst

Identifying, Interpreting, and Communicating Changes in XML-encoded Models of Biological Systems Martin Scharm1,? , Olaf Wolkenhauer1,2 , and Dagmar Waltemath1 1

Source URL: dils2014.inesc-id.pt

• Systems biology
• Biology
• Computing
• Systems science
• Bioinformatics
• Biological databases
• Genetics
• Molecular biology
• CellML
• BioModels Database
• SBML
• MIRIAM Registry

Genome Informatics 12: 316–Design and Development of Software Environment for Whole-Cell Simulation

Source URL: www.jsbi.org

• Systems biology
• Systems science
• Biology
• Academia
• CellML
• Masaru Tomita
• Gene regulatory network
• Bioinformatics
• Spreadsheet
• Simulation
• Modelling biological systems
• Physiomics

Considerations for the use of cellular electrophysiology models within cardiac tissue simulations Jonathan Coopera,∗, Alberto Corriasa,1 , David Gavaghana , Denis Nobleb a b

Source URL: www.cs.ox.ac.uk

• Electrophysiology
• Cellular neuroscience
• Cellular processes
• Membrane biology
• Nervous system
• CellML
• Bidomain model
• Cellular model
• Action potential
• Membrane potential
• Mathematical and theoretical biology

CellML Evolution Poul Nielsen, Matt Halstead, Autumn Cuellar, Michael Dunstan, David Bullivant, Peter Hunter. Bioengineering Institute, University of Auckland, New Zealand. Overview

Source URL: sbml.org

Representing uncertainty in CellML : Unofficial working draft Table of Contents 1. Application to CellML ............................................................................................... 2. Definition and s

Source URL: sbml.org

Model libraries with CellML 1.1 CellML •  CellML is designed to support the definition and sharing of

Source URL: sbml.org

COMBINE 2010 Edinburgh 6-9 Oct The Physiome languages: CellML & FieldML

Source URL: sbml.org

The Layer-Oriented Approach to Declarative Languages for Biological Modeling Ivan Raikov1,2*, Erik De Schutter1,2 1 Okinawa Institute of Science and Technology, Onna-son, Okinawa, Japan, 2 University of Antwerp, Antwerp,

Source URL: www.tnb.ua.ac.be

• Neuroscience
• Non-linear systems
• Electrophysiology
• Biophysics
• Hodgkin–Huxley model
• Neuroinformatics
• Modeling language
• Biological neuron model
• CellML
• Computational neuroscience
• Science
• Biology