{"title":"药物设计中的非最小二乘折刀回归。","authors":"P P Mager","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>Nonleast-squares jackknife regression was applied to model a quantitative structure-activity relationship (QSAR) analysis of butyrophenones. Dependent physicochemical and dependent psychopharmacological parameters were correlated, and the robustness of the model was confirmed by resampling.</p>","PeriodicalId":11271,"journal":{"name":"Drug design and delivery","volume":"7 2","pages":"119-29"},"PeriodicalIF":0.0000,"publicationDate":"1991-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Nonleast-squares jackknife regression in drug design.\",\"authors\":\"P P Mager\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Nonleast-squares jackknife regression was applied to model a quantitative structure-activity relationship (QSAR) analysis of butyrophenones. Dependent physicochemical and dependent psychopharmacological parameters were correlated, and the robustness of the model was confirmed by resampling.</p>\",\"PeriodicalId\":11271,\"journal\":{\"name\":\"Drug design and delivery\",\"volume\":\"7 2\",\"pages\":\"119-29\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Drug design and delivery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Drug design and delivery","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Nonleast-squares jackknife regression in drug design.
Nonleast-squares jackknife regression was applied to model a quantitative structure-activity relationship (QSAR) analysis of butyrophenones. Dependent physicochemical and dependent psychopharmacological parameters were correlated, and the robustness of the model was confirmed by resampling.
分享
京公网安备 11010802042870号
京ICP备2023020795号-1
求助内容：
应助结果提醒方式：
扫码关注我们
