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Predictive oncology: multidisciplinary, multi-scale in-silico modeling linking phenotype, morphology and growth
Empirical evidence and theoretical studies suggest that the phenotype, i.e., cellular- and molecular-scale dynamics, including proliferation rate and adhesiveness due to microenvironmental factors and gene expression that govern tumor growth and invasiveness, also determine gross tumor-scale morphol...
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| 主要な著者: | , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2007
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2245890/ https://ncbi.nlm.nih.gov/pubmed/17629503 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2007.05.043 |
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