The Inferelator: an algorithm for learning parsimonious regulatory networks from systems-biology data sets de novo

Richard Bonneau¹^,2 , David J Reiss³ , Paul Shannon³ , Marc Facciotti³ , Leroy Hood³ , Nitin S Baliga³ and Vesteinn Thorsson³

¹New York University, Biology Department, Center for Comparative Functional Genomics, New York, NY 10003, USA

²Courant Institute, NYU Department of Computer Science, New York, NY 10003, USA

³Institute for Systems Biology, Seattle, WA 98103-8904, USA

author email corresponding author email

Genome Biology 2006, 7:R36doi:10.1186/gb-2006-7-5-r36


Published:	10 May 2006

Subject areas: Bioinformatics, Microbiology and parasitology, Methods

Additional files

Additional File 1:

Additional tests of individual components of our model formulation.

Format: DOC Size: 46KB Download file

This file can be viewed with: Microsoft Word Viewer