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QSAR modeling: a new open source computational package to generate and validate QSAR models

机译:QSAR建模:一个新的开源计算包,用于生成和验证QSAR模型

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QSAR modeling is a novel computer program developed to generate and validate QSAR or QSPR (quantitative structure- activity or property relationships) models. With QSAR modeling, users can build partial least squares (PLS) regression models, perform variable selection with the ordered predictors selection (OPS) algorithm, and validate models by using y-randomization and leave-N-out cross validation. An additional new feature is outlier detection carried out by simultaneous comparison of sample leverage with the respective Studentized residuals. The program was developed using Java version 6, and runs on any operating system that supports Java Runtime Environment version 6. The use of the program is illustrated. This program is available for download at lqta.iqm.unicamp.br.
机译:QSAR建模是一种新颖的计算机程序,用于生成和验证QSAR或QSPR(定量结构-活动或属性关系)模型。借助QSAR建模,用户可以构建偏最小二乘(PLS)回归模型,使用有序预测变量选择(OPS)算法执行变量选择,并通过使用y随机化和离开N交叉验证来验证模型。另一个新功能是通过同时比较样本杠杆与各个学生化残差进行的离群值检测。该程序是使用Java版本6开发的,并且可以在支持Java Runtime Environment版本6的任何操作系统上运行。说明了该程序的用法。该程序可从lqta.iqm.unicamp.br下载。

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