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- Title
Optimization of neural network architecture using genetic programming improves detection and modeling of gene-gene interactions in studies of human diseases.
- Authors
Ritchie, Marylyn D; White, Bill C; Parker, Joel S; Hahn, Lance W; Moore, Jason H
- Abstract
Appropriate definition of neural network architecture prior to data analysis is crucial for successful data mining. This can be challenging when the underlying model of the data is unknown. The goal of this study was to determine whether optimizing neural network architecture using genetic programming as a machine learning strategy would improve the ability of neural networks to model and detect nonlinear interactions among genes in studies of common human diseases.
- Publication
BMC bioinformatics, 2003, Vol 4, p28
- ISSN
1471-2105
- Publication type
Journal Article
- DOI
10.1186/1471-2105-4-28