Cargando…
Identifying significant edges in graphical models of molecular networks
OBJECTIVE: Modelling the associations from high-throughput experimental molecular data has provided unprecedented insights into biological pathways and signalling mechanisms. Graphical models and networks have especially proven to be useful abstractions in this regard. Ad hoc thresholds are often us...
Autores principales: | Scutari, Marco, Nagarajan, Radhakrishnan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Science Publishing
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4070079/ https://www.ncbi.nlm.nih.gov/pubmed/23395009 http://dx.doi.org/10.1016/j.artmed.2012.12.006 |
Ejemplares similares
-
Impact of Noise on Molecular Network Inference
por: Nagarajan, Radhakrishnan, et al.
Publicado: (2013) -
Bayesian networks in R: with applications in systems biology
por: Nagarajan, Radhakrishnan, et al.
Publicado: (2013) -
NATbox: a network analysis toolbox in R
por: Chavan, Shweta S, et al.
Publicado: (2009) -
Structural identifiability of cyclic graphical models of biological networks with latent variables
por: Wang, Yulin, et al.
Publicado: (2016) -
Identifying oscillatory brain networks with hidden Gaussian graphical spectral models of MEEG
por: Paz-Linares, Deirel, et al.
Publicado: (2023)