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Binary Classification of a Large Collection of Environmental Chemicals from Estrogen Receptor Assays by Quantitative Structure–Activity Relationship and Machine Learning Methods

Binary Classification of a Large Collection of Environmental Chemicals from Estrogen Receptor Assays by Quantitative Structure–Activity Relationship and Machine Learning Methods

Zang, Qingda; Rotroff, Daniel M.; Judson, Richard S.
  • 期刊名称Journal of Chemical Information and Modeling
  • 作者Zang, Qingda; Rotroff, Daniel M.; Judson, Richard S.
  • 卷第53卷
  • 期第12期
  • 印刷ISSN1549-9596
  • 电子ISSN1549-960X
  • 文件大小1922.09KB
  • 发表时间2013-12-23
  • DOI10.1021/ci400527b
  • 页码3244-3261
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