DÃez DÃaz, F.; Sánchez Lasheras, F.; Moreno, V.; Moratalla-Navarro, F.; Molina de la Torre, A.J.; MartÃn Sánchez, V.
GASVeM: A New Machine Learning Methodology for Multi-SNP Analysis of GWAS Data Based on Genetic Algorithms and Support Vector Machines. Mathematics 2021, 9, 654.
https://doi.org/10.3390/math9060654
AMA Style
DÃez DÃaz F, Sánchez Lasheras F, Moreno V, Moratalla-Navarro F, Molina de la Torre AJ, MartÃn Sánchez V.
GASVeM: A New Machine Learning Methodology for Multi-SNP Analysis of GWAS Data Based on Genetic Algorithms and Support Vector Machines. Mathematics. 2021; 9(6):654.
https://doi.org/10.3390/math9060654
Chicago/Turabian Style
DÃez DÃaz, Fidel, Fernando Sánchez Lasheras, VÃctor Moreno, Ferran Moratalla-Navarro, Antonio José Molina de la Torre, and Vicente MartÃn Sánchez.
2021. "GASVeM: A New Machine Learning Methodology for Multi-SNP Analysis of GWAS Data Based on Genetic Algorithms and Support Vector Machines" Mathematics 9, no. 6: 654.
https://doi.org/10.3390/math9060654
APA Style
DÃez DÃaz, F., Sánchez Lasheras, F., Moreno, V., Moratalla-Navarro, F., Molina de la Torre, A. J., & MartÃn Sánchez, V.
(2021). GASVeM: A New Machine Learning Methodology for Multi-SNP Analysis of GWAS Data Based on Genetic Algorithms and Support Vector Machines. Mathematics, 9(6), 654.
https://doi.org/10.3390/math9060654
