Originally submitted as a Reader Response on 31st December 2007

Great article!! For a viewpoint on using algorithmic (probabilistic and other )approaches to reconstruct the underlying gene networks from microarray data you may want to also look at:

Wimberly, F., Heiman, T., Ramsey, J. and Glymour, C. (2003) Experiments on the Accuracy of Algorithms for Inferring the Structure of Genetic Regulatory Networks from Microarray Expression Levels.

Chu, T, Glymour, C., Scheines, R., and Spirtes, P. (2003). A Statistical Problem for Inference to Regulatory Structure from Associations of Gene Expression Measurement with Microarrays. Bioinformatics, 19(9):1147-1152 .

Chu, T. (2004). Invited Presentation: "Limitations of Statistical Learning from Gene Expression Data,"

All of these papers are available from:
http://www.phil.cmu.edu/p...

Submitted by: thomas heiman
E-mail: theiman@mitre.org
Occupation: computational biologist/data miner