Project details for Expectation Propagation and Experimental Design in the Sparse Linear Model

Logo Expectation Propagation and Experimental Design in the Sparse Linear Model 1.0

by mseeger - November 10, 2007, 22:20:49 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ]

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Description:

This page contains the implementation used in the paper „Experimental Design for Efficient Identification of Gene Regulatory Networks using Sparse Bayesian Models“ by Florian Steinke, Matthias Seeger, and Koji Tsuda (BMC Systems Biology, to appear).

Approximate inference and, based on that, experimental design for the sparse linear model. This is used for inferring gene networks from disturbance experiments, where such experiments are suggested by the method itself.

If you use this code in a scientific publication, please cite the paper mentioned above. Citation details are on the web site.

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download
Corresponding Paper BibTeX Entry: Download
URL: Project Homepage
Supported Operating Systems: Linux, Macosx, Windows
Data Formats: None
Archive: download here

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