RIPE (Regulatory network Inference from joint Perturbation and Expression data) is a novel three-step method that integrates both perturbation data and steady state gene expression data in order to estimate a regulatory network. The ripe package is written in R, with additional functionality provided by a MATLAB executable file. The executable file uses a runtime engine called the MATLAB Compiler Runtime (MCR). The executable for different architectures is distributed on this site together with the R package itself.

Project Samples

Project Activity

See All Activity >

Categories

Statistics

License

GNU General Public License version 2.0 (GPLv2)

Follow RIPE: Regulatory Network Inference

RIPE: Regulatory Network Inference Web Site

Other Useful Business Software
Build Agents and Models on One Platform Icon
Build Agents and Models on One Platform

Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Try It Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of RIPE: Regulatory Network Inference!

Additional Project Details

Operating Systems

Mac, Windows

Programming Language

MATLAB, S/R

Related Categories

MATLAB Statistics Software, S/R Statistics Software

Registered

2013-04-21