Waltemath Dagmar, Wolkenhauer Olaf
IEEE Trans Biomed Eng. 2016 Oct;63(10):1999-2006. doi: 10.1109/TBME.2016.2555481. Epub 2016 Jun 2.
Only reproducible results are of significance to science. The lack of suitable standards and appropriate support of standards in software tools has led to numerous publications with irreproducible results. Our objectives are to identify the key challenges of reproducible research and to highlight existing solutions.
In this paper, we summarize problems concerning reproducibility in systems biology and systems medicine. We focus on initiatives, standards, and software tools that aim to improve the reproducibility of simulation studies.
The long-term success of systems biology and systems medicine depends on trustworthy models and simulations. This requires openness to ensure reusability and transparency to enable reproducibility of results in these fields.
只有可重复的结果对科学才有意义。软件工具中缺乏合适的标准以及对标准的适当支持，导致众多发表的结果无法重复。我们的目标是确定可重复研究的关键挑战，并突出现有的解决方案。
在本文中，我们总结了系统生物学和系统医学中与可重复性相关的问题。我们重点关注旨在提高模拟研究可重复性的倡议、标准和软件工具。
系统生物学和系统医学的长期成功取决于可靠的模型和模拟。这需要开放性以确保可重用性，以及透明度以实现这些领域结果的可重复性。
