about
Proteomic approaches to understanding the role of the cytoskeleton in host-defense mechanismsPredicting outcomes of prostate cancer immunotherapy by personalized mathematical modelsA new model for the estimation of cell proliferation dynamics using CFSE data.Investigating mathematical models of immuno-interactions with early-stage cancer under an agent-based modelling perspective.Comparing stochastic differential equations and agent-based modelling and simulation for early-stage cancerThe role of mathematical models of host-pathogen interactions for livestock health and production - a review.Dynamical and Mechanistic Reconstructive Approaches of T Lymphocyte Dynamics: Using Visual Modeling Languages to Bridge the Gap between Immunologists, Theoreticians, and Programmers.ImmunoGrid: towards agent-based simulations of the human immune system at a natural scale.Mathematical Models for Immunology: Current State of the Art and Future Research Directions.Dynamic models of immune responses: what is the ideal level of detail?Novel methods for quantifying individual host response to infectious pathogens for genetic analyses.Mathematical modeling of biological systems.
P2860
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P2860
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
The evolution of mathematical immunology.
@ast
The evolution of mathematical immunology.
@en
type
label
The evolution of mathematical immunology.
@ast
The evolution of mathematical immunology.
@en
prefLabel
The evolution of mathematical immunology.
@ast
The evolution of mathematical immunology.
@en
P2860
P1476
The evolution of mathematical immunology.
@en
P2093
Yoram Louzoun
P2860
P356
10.1111/J.1600-065X.2006.00495.X
P577
2007-04-01T00:00:00Z