The roles of integration in molecular systems biology
The roles of integration in molecular systems biology
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DOI：
10.1016/j.shpsc.2011.10.006
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发表时间：
2012-03-01
影响因子：
0.9
通讯作者：
Soyer, Orkun S.
中科院分区：
文献类型：
--
作者：
O'Malley, Maureen A.;Soyer, Orkun S.
思考科学实践的一种常见方法是将其分类为假设驱动或数据驱动。我们认为，尽管这些区别可能非常普遍地阐明了科学实践，但它们不足以理解科学活动的日常动态和研究计划的发展。日常科学实践开始受到更多关注的一个方面是整合。本文概述了该术语的含义以及如何从科学和哲学的角度对其进行讨论。我们专注于方法论、数据和解释性整合，并展示它们是如何相互联系的。然后，我们将使用分子系统生物学的一些例子，展示整合如何在一系列调查中发挥作用，以产生令人惊讶的见解，甚至新的研究领域。从这些例子中，我们试图从实施整合的探究环境中获得更广泛的视角。在当今数据密集型大规模科学的环境中，整合已成为一种实践和规范要求，并对科学实践的元方法论解释产生相应的影响。最后，我们讨论了为什么理解整合及其动态对于科学哲学和一般科学实践是有用的。 (C) 2011 Elsevier Ltd. 保留所有权利。
A common way to think about scientific practice involves classifying it as hypothesis-or data-driven. We argue that although such distinctions might illuminate scientific practice very generally, they are not sufficient to understand the day-to-day dynamics of scientific activity and the development of programmes of research. One aspect of everyday scientific practice that is beginning to gain more attention is integration. This paper outlines what is meant by this term and how it has been discussed from scientific and philosophical points of view. We focus on methodological, data and explanatory integration, and show how they are connected. Then, using some examples from molecular systems biology, we will show how integration works in a range of inquiries to generate surprising insights and even new fields of research. From these examples we try to gain a broader perspective on integration in relation to the contexts of inquiry in which it is implemented. In today's environment of data-intensive large-scale science, integration has become both a practical and normative requirement with corresponding implications for meta-methodological accounts of scientific practice. We conclude with a discussion of why an understanding of integration and its dynamics is useful for philosophy of science and scientific practice in general. (C) 2011 Elsevier Ltd. All rights reserved.