Cargando…
Self-Adjusting Ant Colony Optimization Based on Information Entropy for Detecting Epistatic Interactions
The epistatic interactions of single nucleotide polymorphisms (SNPs) are considered to be an important factor in determining the susceptibility of individuals to complex diseases. Although many methods have been proposed to detect such interactions, the development of detection algorithm is still on...
Autores principales: | Guan, Boxin, Zhao, Yuhai |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6409693/ https://www.ncbi.nlm.nih.gov/pubmed/30717303 http://dx.doi.org/10.3390/genes10020114 |
Ejemplares similares
-
An Ant Colony Optimization Based on Information Entropy for Constraint Satisfaction Problems
por: Guan, Boxin, et al.
Publicado: (2019) -
AntEpiSeeker: detecting epistatic interactions for case-control studies using a two-stage ant colony optimization algorithm
por: Wang, Yupeng, et al.
Publicado: (2010) -
Colony entropy—Allocation of goods in ant colonies
por: Greenwald, Efrat, et al.
Publicado: (2019) -
Exploration adjustment by ant colonies
por: Doran, Carolina, et al.
Publicado: (2016) -
MDSN: A Module Detection Method for Identifying High-Order Epistatic Interactions
por: Sun, Yan, et al.
Publicado: (2022)