Cargando…
CellNOptR: a flexible toolkit to train protein signaling networks to data using multiple logic formalisms
BACKGROUND: Cells process signals using complex and dynamic networks. Studying how this is performed in a context and cell type specific way is essential to understand signaling both in physiological and diseased situations. Context-specific medium/high throughput proteomic data measured upon pertur...
Autores principales: | Terfve, Camille, Cokelaer, Thomas, Henriques, David, MacNamara, Aidan, Goncalves, Emanuel, Morris, Melody K, Iersel, Martijn van, Lauffenburger, Douglas A, Saez-Rodriguez, Julio |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3605281/ https://www.ncbi.nlm.nih.gov/pubmed/23079107 http://dx.doi.org/10.1186/1752-0509-6-133 |
Ejemplares similares
-
MEIGO: an open-source software suite based on metaheuristics for global optimization in systems biology and bioinformatics
por: Egea, Jose A, et al.
Publicado: (2014) -
Converting networks to predictive logic models from perturbation signalling data with CellNOpt
por: Gjerga, Enio, et al.
Publicado: (2020) -
CySBGN: A Cytoscape plug-in to integrate SBGN maps
por: Gonçalves, Emanuel, et al.
Publicado: (2013) -
A flexible ChIP-sequencing simulation toolkit
por: Zheng, An, et al.
Publicado: (2021) -
Trackplot: A flexible toolkit for combinatorial analysis of genomic data
por: Zhang, Yiming, et al.
Publicado: (2023)