Application of Machine Learning Approaches for the Design and Study of Anticancer Drugs

著录项

• 来源
  《Current drug targets-The International journal for timely in-depth reviews on drug targets》 |2019年第5期|共13页
• 作者

  Hu Yan; Lu Yi; Wang Shuo; Zhang Mengying; Qu Xiaosheng; Niu Bing;

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• 作者单位

  Shanghai Univ Sch Life Sci Shanghai 200444 Peoples R China;

  Shanghai Univ Sch Life Sci Shanghai 200444 Peoples R China;

  Shanghai Univ Sch Life Sci Shanghai 200444 Peoples R China;

  Shanghai Univ Sch Life Sci Shanghai 200444 Peoples R China;

  Guangxi Bot Garden Med Plants Natl Engn Lab Soutwest Endangered Med Resources D Nanning 530023;

  Shanghai Univ Sch Life Sci Shanghai 200444 Peoples R China;

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• 收录信息
• 原文格式 PDF
• 正文语种 eng
• 中图分类 药学;
• 关键词

  Machine learning (ML); anticancer drugs; linear discriminant analysis (LDA); principal components analysis (PCA); support vector machine (SVM); random forest (RF); k-nearest neighbor (kNN); naive bayes (NB); deep learning; web servers;

  机译：机器学习（ml）;抗癌药物;线性判别分析（LDA）;主成分分析（PCA）;支持向量机（SVM）;随机森林（RF）;K-最近邻（KNN）;天真贝叶斯（NB）;深度学习;Web服务器;