Cargando…
Biological Data Analysis as an Information Theory Problem: Multivariable Dependence Measures and the Shadows Algorithm
Information theory is valuable in multiple-variable analysis for being model-free and nonparametric, and for the modest sensitivity to undersampling. We previously introduced a general approach to finding multiple dependencies that provides accurate measures of levels of dependency for subsets of va...
Autores principales: | Sakhanenko, Nikita A., Galas, David J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Mary Ann Liebert, Inc.
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4642827/ https://www.ncbi.nlm.nih.gov/pubmed/26335709 http://dx.doi.org/10.1089/cmb.2015.0051 |
Ejemplares similares
-
Multivariate Analysis of Data Sets with Missing Values: An Information Theory-Based Reliability Function
por: Uechi, Lisa, et al.
Publicado: (2019) -
Symmetries among Multivariate Information Measures Explored Using Möbius Operators
por: Galas, David J., et al.
Publicado: (2019) -
ApoE Modifier Alleles for Alzheimer's Disease Discovered by Information Theory Dependency Measures: MIST Software Package
por: Banman, Andrew, et al.
Publicado: (2023) -
Toward an Information Theory of Quantitative Genetics
por: Galas, David J., et al.
Publicado: (2021) -
Discovering Pair-Wise Genetic Interactions: An Information Theory-Based Approach
por: Ignac, Tomasz M., et al.
Publicado: (2014)