Novel naïve Bayes classification models for predicting the carcinogenicity of chemicals

标题
Novel naïve Bayes classification models for predicting the carcinogenicity of chemicals
作者
关键词
Carcinogenicity, In silico, prediction, Naïve Bayes classifier, Molecular descriptors, Extended connectivity fingerprints (ECFP_14)
出版物
FOOD AND CHEMICAL TOXICOLOGY
Volume 97, Issue -, Pages 141-149
出版商
Elsevier BV
发表日期
2016-09-10
DOI
10.1016/j.fct.2016.09.005

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