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Cited by in F6Publishing
For: Díez Díaz F, Sánchez Lasheras F, Moreno V, Moratalla-navarro F, Molina de la Torre AJ, Martín 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. [DOI: 10.3390/math9060654] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Meng X, Wei Q, Meng L, Liu J, Wu Y, Liu W. Feature Fusion and Detection in Alzheimer’s Disease Using a Novel Genetic Multi-Kernel SVM Based on MRI Imaging and Gene Data. Genes 2022;13:837. [DOI: 10.3390/genes13050837] [Reference Citation Analysis]
2 Liu W, Cao L, Luo H, Wang Y. Research on Pathogenic Hippocampal Voxel Detection in Alzheimer's Disease Using Clustering Genetic Random Forest. Front Psychiatry 2022;13:861258. [DOI: 10.3389/fpsyt.2022.861258] [Reference Citation Analysis]
3 Álvarez Gutiérrez D, Sánchez Lasheras F, Martín Sánchez V, Suárez Gómez SL, Moreno V, Moratalla-navarro F, Molina de la Torre AJ. A New Algorithm for Multivariate Genome Wide Association Studies Based on Differential Evolution and Extreme Learning Machines. Mathematics 2022;10:1024. [DOI: 10.3390/math10071024] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Castillo M, Soto R, Crawford B, Castro C, Olivares R. A Knowledge-Based Hybrid Approach on Particle Swarm Optimization Using Hidden Markov Models. Mathematics 2021;9:1417. [DOI: 10.3390/math9121417] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]