Experimental design for high-throughput screening

被引:35
作者
Lutz, MW
Menius, JA
Choi, TD
Laskody, RG
Domanico, PL
Goetz, AS
Saussy, DL
机构
[1] GlaxoWellcome Research Institute, Research Triangle Park
关键词
D O I
10.1016/1359-6446(96)10025-8
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Novel methods in molecular biology and advanced technologies have given pharmaceutical research laboratories the capability to test combinatorial libraries rapidly against large numbers of potential targets. Methods to identify optimal assay conditions efficiently are very useful in the development of robotic screening assays where there are numerous variables and potential interactions between the variables. This review discusses the use of statistical experimental design in the develop ment and optimization of high-throughput screening assays. The authors provide a brief introduction to the theoretical basis for experimental design and discuss practical aspects of using these methods in a research laboratory. Two case studies demonstrate the power of the method in solving problems in assay development and illustrate the diversity of potential applications.
引用
收藏
页码:277 / 286
页数:10
相关论文
共 33 条
[1]  
[Anonymous], 1983, Statistical methods
[2]  
AUSTEL V, 1983, QUANTITATIVE APPROAC
[3]  
Box GEP., 1960, TECHNOMETRICS, V2, P455, DOI [10.1080/00401706.1960.10489912, DOI 10.1080/00401706.1960.10489912, 10.2307/1266454]
[4]  
BOX GEP, 1978, STATISTICS EXPT
[5]   A COMPARISON BETWEEN MAXIMUM-LIKELIHOOD AND GENERALIZED LEAST-SQUARES IN A HETEROSCEDASTIC LINEAR-MODEL [J].
CARROLL, RJ ;
RUPPERT, D .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1982, 77 (380) :878-882
[6]  
Cochran W.G. G.M. Cox., 1957, Experimental Design
[7]  
Daniel C., 1976, APPL STAT IND EXPT
[8]  
Deming S.N., 1987, Experimental Design: A Chemometric Approach
[9]   STATISTICAL-DATA ANALYSIS IN THE COMPUTER-AGE [J].
EFRON, B ;
TIBSHIRANI, R .
SCIENCE, 1991, 253 (5018) :390-395
[10]  
Efron B., 1993, An Introduction to the Bootstrap, DOI 10.1007/978-1-4899-4541-9