Cargando…
Computation of Robust Minimal Intervention Sets in Multi-Valued Biological Regulatory Networks
Enabled by rapid advances in computational sciences, in silico logical modeling of complex and large biological networks is more and more feasible making it an increasingly popular approach among biologists. Automated high-throughput, drug target identification is one of the primary goals of this in...
Autores principales: | Sedghamiz, Hooman, Morris, Matthew, Whitley, Darrell, Craddock, Travis J. A., Pichichero, Michael, Broderick, Gordon |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6433979/ https://www.ncbi.nlm.nih.gov/pubmed/30941053 http://dx.doi.org/10.3389/fphys.2019.00241 |
Ejemplares similares
-
High-fidelity discrete modeling of the HPA axis: a study of regulatory plasticity in biology
por: Sedghamiz, Hooman, et al.
Publicado: (2018) -
Bio-ModelChecker: Using Bounded Constraint Satisfaction to Seamlessly Integrate Observed Behavior With Prior Knowledge of Biological Networks
por: Sedghamiz, Hooman, et al.
Publicado: (2019) -
Leveraging Prior Knowledge to Recover Characteristic Immune Regulatory Motifs in Gulf War Illness
por: Vashishtha, Saurabh, et al.
Publicado: (2020) -
Efficient computation of minimal perturbation sets in gene regulatory networks
por: Garg, Abhishek, et al.
Publicado: (2013) -
Inferring Broad Regulatory Biology from Time Course Data: Have We Reached an Upper Bound under Constraints Typical of In Vivo Studies?
por: Vashishtha, Saurabh, et al.
Publicado: (2015)