Multiscale agent-based cancer modeling

被引：99
|
作者：
Zhang, Le [1 ]
Wang, Zhihui [1 ]
Sagotsky, Jonathan A. [1 ]
Deisboeck, Thomas S. [1 ]
机构：
[1] Massachusetts Gen Hosp, Complex Biosyst Modeling Lab, Harvard MIT HST Athinoula A Martinos Ctr Biomed I, Charlestown, MA 02129 USA
来源：
JOURNAL OF MATHEMATICAL BIOLOGY | 2009年 / 58卷 / 4-5期
关键词：
Computational systems biology; Agent-based modeling; Tumor simulation; EPIDERMAL-GROWTH-FACTOR; CYLINDRICAL SKIN-STRUCTURE; BRAIN-TUMORS; MULTICELLULAR PATTERNS; MATHEMATICAL-MODEL; NUMERICAL-METHOD; CLINICAL-TRIALS; TIME-SERIES; INVASION; GLIOBLASTOMA;
D O I：
10.1007/s00285-008-0211-1
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
Agent-based modeling (ABM) is an in silico technique that is being used in a variety of research areas such as in social sciences, economics and increasingly in biomedicine as an interdisciplinary tool to study the dynamics of complex systems. Here, we describe its applicability to integrative tumor biology research by introducing a multi-scale tumor modeling platform that understands brain cancer as a complex dynamic biosystem. We summarize significant findings of this work, and discuss both challenges and future directions for ABM in the field of cancer research.
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页码：545 / 559
页数：15
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