Simulating Brain Tumor Heterogeneity with a Multiscale Agent-Based Model: Linking Molecular Signatures, Phenotypes and Expansion Rate.
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Integrated PK-PD and agent-based modeling in oncologyAgent-Based Modeling in Systems PharmacologyIntegrating intracellular dynamics using CompuCell3D and Bionetsolver: applications to multiscale modelling of cancer cell growth and invasionVirus-host interactions: from systems biology to translational researchEvolutionary dynamics of intratumor heterogeneity.Three-dimensional multispecies nonlinear tumor growth-II: Tumor invasion and angiogenesisNonlinear modelling of cancer: bridging the gap between cells and tumoursMulti-scale agent-based brain cancer modeling and prediction of TKI treatment response: incorporating EGFR signaling pathway and angiogenesisHybrid models of tumor growth.A leak pathway for luminal protons in endosomes drives oncogenic signalling in glioblastomaAgent-based dynamic knowledge representation of Pseudomonas aeruginosa virulence activation in the stressed gut: Towards characterizing host-pathogen interactions in gut-derived sepsisEffect of Intrinsic Noise on the Phenotype of Cell Populations Featuring Solution Multiplicity: An Artificial lac Operon Network Paradigm.Immature oxidative stress management as a unifying principle in the pathogenesis of necrotizing enterocolitis: insights from an agent-based model.Simulation of the Protein-Shedding Kinetics of a Fully Vascularized Tumor.Modeling drug- and chemical-induced hepatotoxicity with systems biology approaches.Multiscale models of breast cancer progressionMultiscale cancer modelingCellular modeling of cancer invasion: integration of in silico and in vitro approachesTumor evolution: Linear, branching, neutral or punctuated?The modulatory effect of cell–cell contact on the tumourigenic potential of pre-malignant epithelial cells: a computational explorationHybrid multiscale modeling and prediction of cancer cell behaviorMulti-scale agent-based modeling on melanoma and its related angiogenesis analysis.Developing a multiscale, multi-resolution agent-based brain tumor model by graphics processing units.Multi-scale, multi-resolution brain cancer modeling.The biology and mathematical modelling of glioma invasion: a review.A simple and accurate rule-based modeling framework for simulation of autocrine/paracrine stimulation of glioblastoma cell motility and proliferation by L1CAM in 2-D culture.Coarse-grained analysis of stochastically simulated cell populations with a positive feedback genetic network architecture.Modelling multi-scale cell-tissue interaction of tissue-engineered muscle constructsTowards patient-specific modeling of brain tumor growth and formation of secondary nodes guided by DTI-MRI
P2860
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P2860
Simulating Brain Tumor Heterogeneity with a Multiscale Agent-Based Model: Linking Molecular Signatures, Phenotypes and Expansion Rate.
description
2009 nî lūn-bûn
@nan
2009年の論文
@ja
2009年学术文章
@wuu
2009年学术文章
@zh
2009年学术文章
@zh-cn
2009年学术文章
@zh-hans
2009年学术文章
@zh-my
2009年学术文章
@zh-sg
2009年學術文章
@yue
2009年學術文章
@zh-hant
name
Simulating Brain Tumor Heterog ...... Phenotypes and Expansion Rate.
@en
Simulating Brain Tumor Heterog ...... Phenotypes and Expansion Rate.
@nl
type
label
Simulating Brain Tumor Heterog ...... Phenotypes and Expansion Rate.
@en
Simulating Brain Tumor Heterog ...... Phenotypes and Expansion Rate.
@nl
prefLabel
Simulating Brain Tumor Heterog ...... Phenotypes and Expansion Rate.
@en
Simulating Brain Tumor Heterog ...... Phenotypes and Expansion Rate.
@nl
P2093
P2860
P1476
Simulating Brain Tumor Heterog ...... Phenotypes and Expansion Rate.
@en
P2093
Thomas S Deisboeck
Zhihui Wang
P2860
P304
P356
10.1016/J.MCM.2008.05.011
P577
2009-01-01T00:00:00Z
P5875
P698
P818
q-bio/0612037