Model Approaches for Pharmacokinetic Data: Physiological Models
Model Approaches for Pharmacokinetic Data: Compartment Models
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches
One-Compartment Open Model: Urinary Excretion Data and Determination of k
How Data are Classified: Categorical Data
您也可能阅读
通过共同作者、期刊和引用图与本文相关的文章。
Simone Gallarati1,2, Erin M Bucci2, Abigail G Doyle3
1Department of Chemistry, University of Utah, Salt Lake City, Utah, USA.
由于有限的数据,开发新的催化剂来进行对抗选择性反应是具有挑战性的. 本研究引入了一种新的描述器策略,用于预测新型反应的催化剂性能,并优化现有反应.
科学领域:
背景情况:
研究的目的:
主要方法:
主要成果:
结论: