- author = "R. Eriksson and B. Olsson",
- title = "Adapting genetic regulatory models by genetic programming",
- journal = "Biosystems",
- year = "2004",
- volume = "76",
- pages = "217--227",
- number = "1-3",
- 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.",
- owner = "wlangdon",
-
URL = "
http://www.sciencedirect.com/science/article/B6T2K-4D09KY2-7/2/1abfe196bb4afc60afc3311cadb75d66",
- keywords = "genetic algorithms, genetic programming, Gene networks, Evolutionary algorithms, Machine learning",
-
DOI = "
doi:10.1016/j.biosystems.2004.05.014",
-
notes = "Papers presented at the Fifth International Workshop
on Information Processing in Cells and Tissues
PMID: 15351145 [PubMed - indexed for MEDLINE]",
