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TY - JOUR AU - Ritchie, Marylyn D. AU - White, Bill C. AU - Parker, Joel S. AU - Hahn, Lance W. AU - Moore, Jason H. PY - 2003 DA - 2003/07/07 TI - Optimizationof neural network architecture using genetic programming improvesdetection and modeling of gene-gene interactions in studies of humandiseases JO - BMC Bioinformatics SP - 28 VL - 4 IS - 1 AB - Appropriate definitionof neural network architecture prior to data analysis is crucialfor successful data mining. This can be challenging when the underlyingmodel of the data is unknown. The goal of this study was to determinewhether optimizing neural network architecture using genetic programmingas a machine learning strategy would improve the ability of neural networksto model and detect nonlinear interactions among genes in studiesof common human diseases. SN - 1471-2105 UR - https://doi.org/10.1186/1471-2105-4-28 DO - 10.1186/1471-2105-4-28 ID - Ritchie2003 ER -