Cargando…
Inference of Vohradský's Models of Genetic Networks by Solving Two-Dimensional Function Optimization Problems
The inference of a genetic network is a problem in which mutual interactions among genes are inferred from time-series of gene expression levels. While a number of models have been proposed to describe genetic networks, this study focuses on a mathematical model proposed by Vohradský. Because of its...
Autores principales: | Kimura, Shuhei, Sato, Masanao, Okada-Hatakeyama, Mariko |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3875442/ https://www.ncbi.nlm.nih.gov/pubmed/24386175 http://dx.doi.org/10.1371/journal.pone.0083308 |
Ejemplares similares
-
Genetic Network Inference Using Hierarchical Structure
por: Kimura, Shuhei, et al.
Publicado: (2016) -
Function approximation approach to the inference of reduced NGnet models of genetic networks
por: Kimura, Shuhei, et al.
Publicado: (2008) -
Inference of Genetic Networks From Time-Series and Static Gene Expression Data: Combining a Random-Forest-Based Inference Method With Feature Selection Methods
por: Kimura, Shuhei, et al.
Publicado: (2020) -
Inferring cluster-based networks from differently stimulated multiple time-course gene expression data
por: Shiraishi, Yuichi, et al.
Publicado: (2010) -
Social Network Search for Solving Engineering Optimization Problems
por: Bayzidi, Hadi, et al.
Publicado: (2021)