The Crisis of Reproducibility, the Denominator Problem and the Scientific Role of Multi-scale Modeling.
The Crisis of Reproducibility, the Denominator Problem and the Scientific Role of Multi-scale Modeling.
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DOI：
10.1007/s11538-018-0497-0
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发表时间：
2018-12
影响因子：
3.5
通讯作者：
An G
中科院分区：
文献类型：
--
作者：
An G
“可重复性危机”受到了科学界内外的广泛关注。虽然与科学文化和实践实践相关的因素最常被提及，但我认为可重复性危机最终是生物医学研究方法中具有基本科学基础的概括的失败。分母问题描述了生物医学研究、临床研究和临床前实验生物学这两种主要方法固有的局限性如何导致无法有效地表征生物异质性的全部范围，从而损害了概括所获得知识的任务。借鉴物理科学中理论统一作用的例子，我提出，当映射到生物系统的模块化结构时，多尺度数学和动态计算模型可以发挥统一作用，作为从一种生物环境到另一种生物环境中保守和相似的事物的形式表示。这种明确描述从相似性产生异质性的能力解决了分母问题，并为再现性危机提供了科学的回应。
The “Crisis of Reproducibility” has received considerable attention both within the scientific community and without. While factors associated with scientific culture and practical practice are most often invoked, I propose that the Crisis of Reproducibility is ultimately a failure of generalization with a fundamental scientific basis in the methods used for biomedical research. The Denominator Problem describes how limitations intrinsic to the two primary approaches of biomedical research, clinical studies and preclinical experimental biology, lead to an inability to effectively characterize the full extent of biological heterogeneity, which compromises the task of generalizing acquired knowledge. Drawing on the example of the unifying role of theory in the physical sciences, I propose that multi-scale mathematical and dynamic computational models, when mapped to the modular structure of biological systems, can serve a unifying role as formal representations of what is conserved and similar from one biological context to another. This ability to explicitly describe the generation of heterogeneity from similarity addresses the Denominator Problem and provides a scientific response to the Crisis of Reproducibility.
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影响因子：
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