Cargando…
Bayesian network prior: network analysis of biological data using external knowledge
Motivation: Reverse engineering GI networks from experimental data is a challenging task due to the complex nature of the networks and the noise inherent in the data. One way to overcome these hurdles would be incorporating the vast amounts of external biological knowledge when building interaction...
Autores principales: | Isci, Senol, Dogan, Haluk, Ozturk, Cengizhan, Otu, Hasan H. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3957076/ https://www.ncbi.nlm.nih.gov/pubmed/24215027 http://dx.doi.org/10.1093/bioinformatics/btt643 |
Ejemplares similares
-
Bayesian Pathway Analysis of Cancer Microarray Data
por: Korucuoglu, Melike, et al.
Publicado: (2014) -
Quantitative utilization of prior biological knowledge in the Bayesian network modeling of gene expression data
por: Gao, Shouguo, et al.
Publicado: (2011) -
Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors
por: Boluki, Shahin, et al.
Publicado: (2017) -
Gene Network Reconstruction by Integration of Prior Biological Knowledge
por: Li, Yupeng, et al.
Publicado: (2015) -
Robust data-driven incorporation of prior knowledge into the inference of dynamic regulatory networks
por: Greenfield, Alex, et al.
Publicado: (2013)