Abstract
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.
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Saito, K., Bay, S., Langley, P. (2002). Revising Qualitative Models of Gene Regulation. In: Lange, S., Satoh, K., Smith, C.H. (eds) Discovery Science. DS 2002. Lecture Notes in Computer Science, vol 2534. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36182-0_8
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DOI: https://doi.org/10.1007/3-540-36182-0_8
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