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Partial Order Theory Applied to QSPR-QSAR Studies

机译:偏序理论在QSPR-QSAR研究中的应用

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摘要

There exists a great amount of information on ranking methods provided in the literature, a new appealing methodology that is generally dealt in a so mathematical fashion. Ranking strategies are applied in a wide range of scientific fields, such as Decision Support, Toxicology, Environmental Research, Analytical Chemistry, Food Chemistry, QSPR-QSAR, etc. When contrasted to other multi-criteria data analyzes, Partial Order Ranking results in a very transparent and suitable way to perform comparisons among a set of objects (such as molecules) according to their attributes (molecular descriptors) values. The scope of this review is to explore such sorting ideas and to provide the non-specialist reader with insights into this formalism applied to QSPR-QSAR studies. Several concepts are explained, revising some of the research developed by different experts on the topic.
机译:文献中提供了大量有关排名方法的信息,这是一种通常以数学方式处理的吸引人的新方法。排名策略被广泛应用于科学领域,例如决策支持,毒理学,环境研究,分析化学,食品化学,QSPR-QSAR等。与其他多标准数据分析相比,部分订单排名可得出一种非常透明且合适的方法,可根据对象(例如分子)的属性(分子描述符)值进行比较。这篇综述的范围是探索这样的分类思想,并向非专业读者提供对应用于QSPR-QSAR研究的这种形式主义的见解。解释了几个概念,修订了由不同专家针对该主题进行的一些研究。

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