Agent-based modeling of the immune system: NetLogo, a promising framework
about
Development of an Agent-Based Model (ABM) to Simulate the Immune System and Integration of a Regression Method to Estimate the Key ABM Parameters by Fitting the Experimental Data.Facing the challenges of multiscale modelling of bacterial and fungal pathogen-host interactions.Dosage and Dose Schedule Screening of Drug Combinations in Agent-Based Models Reveals Hidden Synergies.Modeling the dynamics of chromosomal alteration progression in cervical cancer: A computational model.A Computational Model of Cellular Engraftment on Lung Scaffolds.Developing a Novel Parameter Estimation Method for Agent-Based Model in Immune System Simulation under the Framework of History Matching: A Case Study on Influenza A Virus Infection.Simulating the behavior of patients who leave a public hospital emergency department without being seen by a physician: a cellular automaton and agent-based framework.Development of a Computational Model of Abscess Formation.
P2860
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P2860
Agent-based modeling of the immune system: NetLogo, a promising framework
description
2014 nî lūn-bûn
@nan
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
2014年论文
@zh
2014年论文
@zh-cn
name
Agent-based modeling of the immune system: NetLogo, a promising framework
@en
Agent-based modeling of the immune system: NetLogo, a promising framework.
@nl
type
label
Agent-based modeling of the immune system: NetLogo, a promising framework
@en
Agent-based modeling of the immune system: NetLogo, a promising framework.
@nl
prefLabel
Agent-based modeling of the immune system: NetLogo, a promising framework
@en
Agent-based modeling of the immune system: NetLogo, a promising framework.
@nl
P2093
P2860
P356
P1476
Agent-based modeling of the immune system: NetLogo, a promising framework
@en
P2093
Ferdinando Chiacchio
Francesco Pappalardo
Giulia Russo
P2860
P304
P356
10.1155/2014/907171
P407
P577
2014-04-22T00:00:00Z