Assay optimization: A statistical design of experiments approach

被引：32

作者：

Altekar, Maneesha

Homon, Carol A.

Kashem, Mohammed A.

Mason, Steven W.

Nelson, Richard M.

Patnaude, Lori A.

Yingling, Jeffrey

Taylor, Paul B.

机构：

[1] Boehringer Ingelheim Pharmaceut Inc, Ridgefield, CT 06877 USA

[2] Hercules Inc, Wilmington, DE 19894 USA

[3] Aerie Pharmaceut Inc, Res Triangle Pk, NC 27709 USA

来源：

CLINICS IN LABORATORY MEDICINE | 2007年 / 27卷 / 01期

关键词：

D O I：

10.1016/j.cll.2007.01.001

中图分类号：

R446 [实验室诊断]; R-33 [实验医学、医学实验];

学科分类号：

1001 ;

摘要：

With the transition from manual to robotic HTS in the last several years, assay optimization has become a significant bottleneck. Recent advances in robotic liquid handling have made it feasible to reduce assay optimization timelines with the application of statistically designed experiments. When implemented, they can efficiently optimize assays by rapidly identifying significant factors, complex interactions, and nonlinear responses. This article focuses on the use of statistically designed experiments in assay optimization.

引用

页码：139 / +

页数：18

共 16 条

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[2]

Fisher Ronald A., 1935, DESIGN EXPT

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