校准
校准曲线
计算机科学
选择(遗传算法)
计算生物学
数据挖掘
统计
数学
人工智能
生物
检出限
作者
Mitra Azadeh,Boris Gorovits,John Kamerud,Stephen MacMannis,Afshin Safavi,Jeffrey Sailstad,Perceval Sondag
出处
期刊:Aaps Journal
[Springer Nature]
日期:2017-12-27
卷期号:20 (1)
被引量:40
标识
DOI:10.1208/s12248-017-0159-4
摘要
The accuracy of reported sample results is contingent upon the quality of the assay calibration curve, and as such, calibration curves are critical components of ligand binding and other quantitative methods. Regulatory guidance and lead publications have defined many of the requirements for calibration curves which encompass design, acceptance criteria, and selection of a regression model. However, other important aspects such as preparation and editing guidelines have not been addressed by health authorities. The goal of this publication is to answer many of the commonly asked questions and to present a consensus and the shared views of members of the ligand binding assay (LBA) community on topics related to calibration curves with focus on providing recommendations for the preparation and editing of calibration curves.
科研通智能强力驱动
Strongly Powered by AbleSci AI