GASVeM: A New Machine Learning Methodology for Multi-SNP Analysis of GWAS Data Based on Genetic Algorithms and Support Vector Machines.
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| Title: | GASVeM: A New Machine Learning Methodology for Multi-SNP Analysis of GWAS Data Based on Genetic Algorithms and Support Vector Machines. |
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| Authors: | Díez Díaz, Fidel1 (AUTHOR) fidel.diez@fundacionctic.org, Sánchez Lasheras, Fernando2 (AUTHOR) sanchezfernando@uniovi.es, Moreno, Víctor3 (AUTHOR) v.moreno@iconcologia.net, Moratalla-Navarro, Ferran3 (AUTHOR) fmoratalla@iconcologia.net, Molina de la Torre, Antonio José4 (AUTHOR) ajmolt@unileon.es, Martín Sánchez, Vicente5 (AUTHOR) vicente.martin@unileon.es, Rho, Seungmin (AUTHOR) |
| Source: | Mathematics (2227-7390). Mar2021, Vol. 9 Issue 6, p654-654. 1p. |
| Database: | Academic Search Ultimate |
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