Spatial Metrics of Tumour Vascular Organisation Predict Radiation Efficacy in a Computational Model.
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The proportion of cancer-related entries in PubMed has increased considerably; is cancer truly "The Emperor of All Maladies"?Stochastic multi-scale models of competition within heterogeneous cellular populations: Simulation methods and mean-field analysis.Blood vessel tortuosity selects against evolution of aggressive tumor cells in confined tissue environments: A modeling approach.Coarse-graining and hybrid methods for efficient simulation of stochastic multi-scale models of tumour growth.Towards personalized computational oncology: from spatial models of tumour spheroids, to organoids, to tissues.
P2860
Spatial Metrics of Tumour Vascular Organisation Predict Radiation Efficacy in a Computational Model.
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2016 nî lūn-bûn
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2016年の論文
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2016年論文
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2016年論文
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2016年論文
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2016年論文
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2016年論文
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2016年论文
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2016年论文
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name
Spatial Metrics of Tumour Vasc ...... cacy in a Computational Model.
@ast
Spatial Metrics of Tumour Vasc ...... cacy in a Computational Model.
@en
type
label
Spatial Metrics of Tumour Vasc ...... cacy in a Computational Model.
@ast
Spatial Metrics of Tumour Vasc ...... cacy in a Computational Model.
@en
prefLabel
Spatial Metrics of Tumour Vasc ...... cacy in a Computational Model.
@ast
Spatial Metrics of Tumour Vasc ...... cacy in a Computational Model.
@en
P2093
P2860
P1476
Spatial Metrics of Tumour Vasc ...... icacy in a Computational Model
@en
P2093
Alexander R A Anderson
Jacob G Scott
Philip K Maini
P2860
P304
P356
10.1371/JOURNAL.PCBI.1004712
P577
2016-01-22T00:00:00Z