An economic framework to prioritize confirmatory tests after a high-throughput screen.

An economic framework to prioritize confirmatory tests after a high-throughput screen.
复制标题

DOI:
10.1177/1087057110372803
复制
发表时间:
2010-07
影响因子:
--
通讯作者:
Clemons PA
Clemons PA
中科院分区:
化学3区
文献类型:
--
作者:
Swamidass SJ;Bittker JA;Bodycombe NE;Ryder SP;Clemons PA

文献摘要

参考文献

被引文献

相似文献

从高通量筛选中应发送多少命中用于确认实验?对这个问题的分析答案仅来自统计数据,其目的是将错误发现率固定在预定的容限内。然而,这些方法忽略了当地的经济背景,从而导致不合理的实验策略。相比之下,我们认为,这个问题本质上是经济的,而不是统计的,是服从于一个经济分析,承认一个最佳的解决方案。这种解决方案,反过来,提出了一种新的工具,用于确定确认的命中数,发现的边际成本,这有意义地量化了真阳性和假阳性之间的局部经济权衡,产生了经济上最优的实验策略。经过回顾性模拟和前瞻性实验的验证,该策略确定了157个额外的活性物质,这些活性物质在至少一个真实世界的筛选实验中被错误地标记为非活性物质。
How many hits from a high-throughput screen should be sent for confirmatory experiments? Analytical answers to this question are derived from statistics alone and aim to fix, for example, the false-discovery rate at a predetermined tolerance. These methods, however, neglect local economic context and consequently lead to irrational experimental strategies. In contrast, we argue that this question is essentially economic, not statistical, and is amenable to an economic analysis that admits an optimal solution. This solution, in turn, suggests a novel tool for deciding the number of hits to confirm, the marginal cost of discovery, which meaningfully quantifies the local economic trade-off between true and false positives, yielding an economically optimal experimental strategy. Validated with retrospective simulations and prospective experiments, this strategy identified 157 additional actives which had been erroneously labeled inactive in at least one real-world screening experiment.
DOI: 10.1021/ci8004379
发表时间: 2009-04
影响因子: 5.6
作者:
Swamidass SJ;Azencott CA;Lin TW;Gramajo H;Tsai SC;Baldi P
通讯作者: Baldi P
DOI: 10.2307/2549382
发表时间: 1950-05-01
期刊: ECONOMICA-NEW SERIES
影响因子: --
作者:
Houthakker, H. S.
通讯作者: Houthakker, H. S.
DOI: 10.1111/j.2517-6161.1995.tb02031.x
发表时间: 1995-01-01
影响因子: 5.8
作者:
BENJAMINI, Y;HOCHBERG, Y
通讯作者: HOCHBERG, Y
DOI: 10.1093/bioinformatics/bti436
发表时间: 2005-06-15
期刊: BIOINFORMATICS
影响因子: 5.8
作者:
Scheid, S;Spang, R
通讯作者: Spang, R
DOI: 10.1007/s10822-008-9181-z
发表时间: 2008-03-01
影响因子: 3.5
作者:
Clark, Robert D.;Webster-Clark, Daniel J.
通讯作者: Webster-Clark, Daniel J.