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

You Might Also Like
Employee monitoring software with screenshots Icon
Employee monitoring software with screenshots

Clear visibility and insights into how employees work. Even remotely

Our computer monitoring software allows employees, field contractors, and freelancers to manually clock in when they begin working on an assignment. The application will take screenshots randomly or at set intervals, which allows employers to observe the work process. The application only tracks activity when the employee is clocked in. No spying, only transparency.
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