Cargando…
Identification of the associations between genes and quantitative traits using entropy-based kernel density estimation
Genetic associations have been quantified using a number of statistical measures. Entropy-based mutual information may be one of the more direct ways of estimating the association, in the sense that it does not depend on the parametrization. For this purpose, both the entropy and conditional entropy...
Autores principales: | Yee, Jaeyong, Park, Taesung, Park, Mira |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korea Genome Organization
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9299569/ https://www.ncbi.nlm.nih.gov/pubmed/35794697 http://dx.doi.org/10.5808/gi.22033 |
Ejemplares similares
-
Detecting Genetic Interactions for Quantitative Traits Using m-Spacing Entropy Measure
por: Yee, Jaeyong, et al.
Publicado: (2015) -
A Modified Entropy-Based Approach for Identifying Gene-Gene Interactions in Case-Control Study
por: Yee, Jaeyong, et al.
Publicado: (2013) -
Using the Generalized Index of Dissimilarity to Detect Gene-Gene Interactions in Multi-Class Phenotypes
por: Yee, Jaeyong, et al.
Publicado: (2016) -
IGENT: efficient entropy based algorithm for genome-wide gene-gene interaction analysis
por: Kwon, Min-Seok, et al.
Publicado: (2014) -
X-Entropy: A Parallelized Kernel Density Estimator
with Automated Bandwidth Selection to Calculate Entropy
por: Kraml, Johannes, et al.
Publicado: (2021)