期刊
JOURNAL OF CHEMICAL INFORMATION AND MODELING
卷 48, 期 1, 页码 25-26出版社
AMER CHEMICAL SOC
DOI: 10.1021/ci700332k
关键词
-
A general feeling of disillusionment with QSAR has settled across the modeling community in recent years. Most practitioners seem to agree that QSAR has not fulfilled the expectations set for its ability to predict biological activity. Among the possible reasons that have been proposed recently for this disappointment are chance correlation, rough response surfaces, incorrect functional forms, and overtraining. Undoubtedly, each of these plays an important role in the lack of predictivity seen in most QSAR models. Likely to be just as important is the role of the fallacy cum hoc ergo propter hoc in the poor prediction seen with many QSAR models. By embracing fallacy along with an over reliance on statistical inference, it may well be that the manner in which QSAR is practiced is more responsible for its lack of success than any other innate cause.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据