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LINKAGE DISEQUILIBRIUM IN GENETIC ASSOCIATION STUDIES IMPROVES THE PERFORMANCE OF GRAMMATICAL EVOLUTION NEURAL NETWORKS.
Citation:
MOTSINGER, A. A., D. REIF, T. J. FANELLI, A. C. DAVIS, AND M. D. RITCHIE. LINKAGE DISEQUILIBRIUM IN GENETIC ASSOCIATION STUDIES IMPROVES THE PERFORMANCE OF GRAMMATICAL EVOLUTION NEURAL NETWORKS. Presented at 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, Honolulu, HI, April 01 - 05, 2007.
Impact/Purpose:
In the current study, data simulations with a range of LD patterns are used to assess the impact of such correlated variables on the performance of Grammatical evolution netual network.
Description:
In the current study, data simulations with a range of LD patterns are used to assess the impact of such correlated variables on the performance of Grammatical evolution netual network
URLs/Downloads:
Linkage Disequilibrium in Genetic Association Studies Improves the Performance of Grammatical Evolution Neural Networks. (PDF, NA pp, 187 KB, about PDF)Record Details:
Record Type:DOCUMENT( PRESENTATION/ PAPER)
Product Published Date:04/04/2007
Record Last Revised:12/03/2008
OMB Category:Other
Record ID:
163004