Stochastic Complexity in Statistical Inquiry Theory
Stochastic Complexity in Statistical Inquiry Theory
Computational Revision of Quantitative Scientific Models
DS '01 Proceedings of the 4th International Conference on Discovery Science
Assisting Model-Discovery in Neuroendocrinology
DS '01 Proceedings of the 4th International Conference on Discovery Science
Abductive Inference of Genetic Networks
AIME '01 Proceedings of the 8th Conference on AI in Medicine in Europe: Artificial Intelligence Medicine
CSB '02 Proceedings of the IEEE Computer Society Conference on Bioinformatics
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We present an approach to revising qualitative causal models of gene regulation with DNA microarray data. The method combines search through a space of variable orderings with search through a space of parameters on causal links, with weight decay driving the model toward integer values. We illustrate the technique on a model of photosynthesis regulation and associated microarray data. Experiments with synthetic data that varied distance from the target model, noise, and number of training cases suggest the method is robust with respect to these factors. In closing, we suggest directions for future research and discuss related work on inducing causal regulatory models.