Menon G K, Cammarata A
J Pharm Sci. 1977 Mar;66(3):304-14. doi: 10.1002/jps.2600660303.
A simple form of pattern recognition is successfully used to classify a set of structurally diverse therapeutic agents. By using only organic structural information, the major pharmacological classes present were correctly identified and the pharmacologically unrelated compounds were separated out. One technique of factor analysis--principal component analysis--is shown to be readily adaptable in preprocessing the data. Simple graphical representation of the results enables their direct interpretation.
一种简单的模式识别形式被成功用于对一组结构多样的治疗药物进行分类。仅通过使用有机结构信息,就能正确识别出主要的药理学类别,并将药理上不相关的化合物分离出来。一种因子分析技术——主成分分析——被证明很容易适用于数据预处理。结果的简单图形表示能够直接对其进行解读。