Cargando…
Using Information Interaction to Discover Epistatic Effects in Complex Diseases
It is widely agreed that complex diseases are typically caused by the joint effects of multiple instead of a single genetic variation. These genetic variations may show stronger effects when considered together than when considered individually, a phenomenon known as epistasis or multilocus interact...
Autores principales: | Anunciação, Orlando, Vinga, Susana, Oliveira, Arlindo L. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3806769/ https://www.ncbi.nlm.nih.gov/pubmed/24194833 http://dx.doi.org/10.1371/journal.pone.0076300 |
Ejemplares similares
-
Discovering epistatic feature interactions from neural network models of regulatory DNA sequences
por: Greenside, Peyton, et al.
Publicado: (2018) -
An analysis of the positional distribution of DNA motifs in promoter regions and its biological relevance
por: Casimiro, Ana C, et al.
Publicado: (2008) -
DegreeCox – a network-based regularization method for survival analysis
por: Veríssimo, André, et al.
Publicado: (2016) -
Evaluating epistatic interaction signals in complex traits using quantitative traits
por: Mukherjee, Odity, et al.
Publicado: (2009) -
Epistatic interactions modulate the evolution of mammalian mitochondrial respiratory complex components
por: Azevedo, Luísa, et al.
Publicado: (2009)