Cargando…
Multiscale modeling of mucosal immune responses
Computational modeling techniques are playing increasingly important roles in advancing a systems-level mechanistic understanding of biological processes. Computer simulations guide and underpin experimental and clinical efforts. This study presents ENteric Immune Simulator (ENISI), a multiscale mod...
Autores principales: | Mei, Yongguo, Abedi, Vida, Carbo, Adria, Zhang, Xiaoying, Lu, Pinyi, Philipson, Casandra, Hontecillas, Raquel, Hoops, Stefan, Liles, Nathan, Bassaganya-Riera, Josep |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4705510/ https://www.ncbi.nlm.nih.gov/pubmed/26329787 http://dx.doi.org/10.1186/1471-2105-16-S12-S2 |
Ejemplares similares
-
Supervised learning methods in modeling of CD4+ T cell heterogeneity
por: Lu, Pinyi, et al.
Publicado: (2015) -
Sensitivity Analysis of an ENteric Immunity SImulator (ENISI)-Based Model of Immune Responses to Helicobacter pylori Infection
por: Alam, Maksudul, et al.
Publicado: (2015) -
Systems Modeling of Interactions between Mucosal Immunity and the Gut Microbiome during Clostridium difficile Infection
por: Leber, Andrew, et al.
Publicado: (2015) -
Modeling-Enabled Systems Nutritional Immunology
por: Verma, Meghna, et al.
Publicado: (2016) -
Computational modeling of heterogeneity and function of CD4+ T cells
por: Carbo, Adria, et al.
Publicado: (2014)