Abstract
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. fit 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 oil real data.
Original language | English |
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Title of host publication | BIO-INSPIRED SYSTEMS: COMPUTATIONAL AND AMBIENT INTELLIGENCE, PT 1 |
Editors | J Cabestany, A Prieto, F Sandoval, JM Corchado |
Place of Publication | BERLIN |
Publisher | Springer-Verlag Berlin |
Pages | 917-924 |
Number of pages | 8 |
ISBN (Print) | 978-3-642-02477-1 |
Publication status | Published - 2009 |
Event | 10th International Work-Conference on Artificial Neural Networks (IWANN 2009) - Salamanca, Spain Duration: 10 Jun 2009 → 12 Jun 2009 |
Conference
Conference | 10th International Work-Conference on Artificial Neural Networks (IWANN 2009) |
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Country/Territory | Spain |
City | Salamanca |
Period | 10/06/09 → 12/06/09 |