Article,
Adapting genetic regulatory models by genetic programming
Biosystems, 76 (1-3): 217--227 (2004)
DOI: doi:10.1016/j.biosystems.2004.05.014
Abstract
we focus on the task of adapting genetic regulatory
models based on gene expression data from microarrays.
Our approach aims at automatic revision of qualitative
regulatory models to improve their fit to expression
data. We describe a type of regulatory model designed
for this purpose, a method for predicting the quality
of such models, and a method for adapting the models by
means of genetic programming. We also report
experimental results highlighting the ability of the
methods to infer models on a number of artificial data
sets. In closing, we contrast our results with those of
alternative methods, after which we give some
suggestions for future work.
