Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Induction of ripple-down rules applied to modeling large databases
Journal of Intelligent Information Systems
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
An Evolutionary Algorithm to Find Associations in Dense Genetic Maps
IEEE Transactions on Evolutionary Computation
Data mining and genetic algorithm based gene/SNP selection
Artificial Intelligence in Medicine
SNP-Schizo: a web tool for schizophrenia SNP sequence classification
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
Towards applying associative classifier for genetic variants
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I
Texture classification using kernel-based techniques
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
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A new algorithm is presented for finding genotype-phenotype association rules from data related to complex diseases. The algorithm was based on Genetic Algorithms, a technique of Evolutionary Computation. The algorithm was compared to several traditional data mining techniques and it was proved that it obtained similar classification scores but found more rules from the data generated artificially. In this paper it is assumed that several groups of SNPs have an impact on the predisposition to develop a complex disease like schizophrenia. It is expected to validate this in a short period of time on real data.