Here is the evidence, now what is the hypothesis? The complementary roles of inductive and hypothesis-driven science in the post-genomic era
Here is the evidence, now what is the hypothesis? The complementary roles of inductive and hypothesis-driven science in the post-genomic era
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DOI：
10.1002/bies.10385
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发表时间：
2004-01-01
期刊：
影响因子：
4
通讯作者：
Oliver, SG
中科院分区：
文献类型：
--
作者：
Kell, DB;Oliver, SG
在某些方面，假设驱动的方法被认为是科学进步的唯一有价值、可靠或重要的手段。数据驱动或“归纳”的科学知识的进步，然后被视为边缘，无关紧要，不安全或错误的，而技术的发展-这本身不是“假设主导”（超越了承认，这些工具可能是有价值的）-必须被视为同样无关的假设演绎的科学议程。我们在这里认为，数据和技术驱动的项目不是科学知识发现中假设主导研究的替代方案，而是它们的补充和迭代伙伴。许多领域数据丰富，但假设贫乏。在这里，数据分析的计算方法，这可能是自动化的，提供了产生新的假设，特别是在后基因组时代的手段。(C)2003 Wiley Periodicals，Inc.
It is considered in some quarters that hypothesis-driven methods are the only valuable, reliable or significant means of scientific advance. Data-driven or 'inductive' advances in scientific knowledge are then seen as marginal, irrelevant, insecure or wrong-headed, while the development of technology-which is not of itself 'hypothesis-led' (beyond the recognition that such tools might be of value)-must be seen as equally irrelevant to the hypothetico-deductive scientific agenda. We argue here that data- and technology-driven programmes are not alternatives to hypothesis-led studies in scientific knowledge discovery but are complementary and iterative partners with them. Many fields are data-rich but hypothesis-poor. Here, computational methods of data analysis, which may be automated, provide the means of generating novel hypotheses, especially in the post-genomic era. (C) 2003 Wiley Periodicals, Inc.