Cargando…
Boolean regulatory network reconstruction using literature based knowledge with a genetic algorithm optimization method
BACKGROUND: Prior knowledge networks (PKNs) provide a framework for the development of computational biological models, including Boolean models of regulatory networks which are the focus of this work. PKNs are created by a painstaking process of literature curation, and generally describe all relev...
Autores principales: | Dorier, Julien, Crespo, Isaac, Niknejad, Anne, Liechti, Robin, Ebeling, Martin, Xenarios, Ioannis |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5053080/ https://www.ncbi.nlm.nih.gov/pubmed/27716031 http://dx.doi.org/10.1186/s12859-016-1287-z |
Ejemplares similares
-
Expert curation for building network-based dynamical models: a case study on atherosclerotic plaque formation
por: Bekkar, Amel, et al.
Publicado: (2018) -
Stochastic Boolean networks: An efficient approach to modeling gene regulatory networks
por: Liang, Jinghang, et al.
Publicado: (2012) -
Continuous time boolean modeling for biological signaling: application of Gillespie algorithm
por: Stoll, Gautier, et al.
Publicado: (2012) -
Boolean network simulations for life scientists
por: Albert, István, et al.
Publicado: (2008) -
Identification of multidimensional Boolean patterns in microbial communities
por: Golovko, George, et al.
Publicado: (2020)