| Literature DB >> 17416307 |
Maneesha Altekar1, Carol A Homon, Mohammed A Kashem, Steven W Mason, Richard M Nelson, Lori A Patnaude, Jeffrey Yingling, Paul B Taylor.
Abstract
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.Mesh：
Year: 2007 PMID： 17416307 DOI： 10.1016/j.cll.2007.01.001
Source DB: PubMed Journal: Clin Lab Med ISSN： 0272-2712 Impact factor: 1.935