Department of Surgery, University of Chicago, 5841 South Maryland Ave, MC 5091, Chicago, IL, 60637, USA.
Bull Math Biol. 2018 Dec;80(12):3071-3080. doi: 10.1007/s11538-018-0497-0. Epub 2018 Sep 7.
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.
“可重复性危机”在科学界内外都受到了相当多的关注。虽然通常会提到与科学文化和实践实践相关的因素,但我认为,可重复性危机最终是推广的失败,其根本科学基础在于用于生物医学研究的方法。“分母问题”描述了生物医学研究的两种主要方法——临床研究和临床前实验生物学——内在的局限性如何导致无法有效地描述生物异质性的全部范围,从而影响了获得知识的推广任务。通过理论在物理科学中具有统一作用的例子,我提出多尺度数学和动态计算模型,当映射到生物系统的模块化结构时,可以作为从一个生物背景到另一个生物背景的相似性和相似性的守恒的形式表示,起到统一作用。这种从相似性中明确描述异质性产生的能力解决了分母问题,并为可重复性危机提供了科学回应。