Genetic Regulatory Networks
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BioTapestry v.5.0.2
BioTapestry is designed around the concept of a developmental network model, and is intended to deal with large scale models with consistency and clarity. It is capable of representing systems that exhibit increasing complexity over time,
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GINsim v.2.4 Alpha
Qualitative analysis of regulatory graphs: a computational tool based on a discrete formal framework. GINsim is a utility supporting the definition, the simulation and the analysis of regulatory graphs.
Arne v.0.1.0
Analyze biological regulatory networks with this utility. Arne is a graphical tool to help you model and analyze biological regulatory networks. It uses the mCRL2 model checker suite as back-end and is build using the Eclipse Rich Client Platform.
CellDesigner v.4.1.0.6
CellDesigner is a structured diagram editor for drawing gene-regulatory and biochemical networks.
JAGN v.1.01
jAGN is a Java-Based Model for Artificial Gene Networks Generation. In a biological context, the cells can be viewed as networks of molecules connected by chemical reactions. The development of massive data collection techniques,
DyNet v.1.1
Dynamic network visualization made easy. dyNet is a Java program for dynamic network visualization, manipulation and clustering. Results can be exported in a variety of formats.dyNet Features: 1. dynamic network visualization 2. network manipulation
Python Neural Genetic Algorithm Hybrids v.0.3.0
This project provides a set of Python tools for creating various kinds of neural networks, which can also be powered by genetic algorithms using grammatical evolution.
Capturix NETWorks
Capturix NETWorks is a network utility software that ables you to test and diagnose all common problems from any network. It brings a group of very useful tools like: System Information that can show all information related with a specific network card or
Belief and Decision Networks v.5.1.9
View and solve Bayesian Nets fast and easy. Bayesian Belief and Decision Networks help you solve Bayesian Nets. It has a robust variable elimination algorithm,
Neural Networks v.4.3.7
Create neural networks fast and easy. Inspired by neurons and their connections in the brain, neural network is a representation used in machine learning. After running the back-propagation learning algorithm on a given set of examples,
ASDN - Agile Supply Demand Networks v.1.217
"Agile Supply Demand Networks" is software for analyzing and developing logistics networks.