References

Pacific Symposium on Biocomputing
A Comparison of Genetic Network Models, L.F.A. Wessels, E.P. Van Someren, and M.J.T. Reinders; Pacific Symposium on Biocomputing 6:508-519 (2001).
Discovery of Regulatory Interactions Through Perturbation: Inference and Experimental Design, T.E. Ideker, V. Thorsson, and R.M. Karp; Pacific Symposium on Biocomputing 5:302-313 (2000).
Linear Modeling of mRNA Expression Levels During CNS Development and Injury, P. D'haeseleer, X. Wen, S. Fuhrman, and R. Somogyi; Pacific Symposium on Biocomputing 4:41-52 (1999).
REVEAL, A General Reverse Engineering Algorithm for Inference of GeneticNetwork Architectures, S. Liang, S. Fuhrman and R. Somogyi; Pacific Symposium on Biocomputing 3:18-29 (1998).
Kim S, Dougherty ER, Bittner ML, Chen Y, Sivakumar K, Meltzer P, Trent JM., General nonlinear framework for the analysis of gene interaction via multivariate expression arrays. J Biomed Opt. 2000 Oct;5(4):411-24.
Kim S, Dougherty ER, Chen Y, Sivakumar K, Meltzer P, Trent JM, Bittner M. Multivariate measurement of gene expression relationships. Genomics. 2000 Jul 15;67(2):201-9.
An Introduction to Neural Networks, Dr. Leslie Smith, Centre for Cognitive and Computational Neuroscience, Department of Computing and Mathematics, University of Stirling.

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