间接夹心酶联免疫吸附测定参数的定量分析
Quantitation of indirect sandwich enzyme-linked immunosorbent assay parameters.
作者信息
Chalquest R R
机构信息
Division of Agriculture, Arizona State University, Tempe 85287.
出版信息
J Clin Microbiol. 1988 Jan;26(1):147-8. doi: 10.1128/jcm.26.1.147-148.1988.
Abstract
The optimization of data from the indirect sandwich enzyme-linked immunosorbent assay has been commonly accomplished by linear regression analysis, even though the data are often essentially sigmoid. A new microcomputer software program (LISACRV) that uses a nonlinear regression statistical model to analyze the data from enzyme-linked immunosorbent assay titration experiments was developed.
摘要
间接夹心酶联免疫吸附测定数据的优化通常通过线性回归分析来完成，尽管这些数据往往本质上呈S形。开发了一种新的微机软件程序（LISACRV），它使用非线性回归统计模型来分析酶联免疫吸附测定滴定实验的数据。
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