Novel naïve Bayes classification models for predicting the carcinogenicity of chemicals

Published 2016 View Full Article

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Title
Novel naïve Bayes classification models for predicting the carcinogenicity of chemicals
Authors
Keywords
Carcinogenicity, In silico, prediction, Naïve Bayes classifier, Molecular descriptors, Extended connectivity fingerprints (ECFP_14)
Journal
FOOD AND CHEMICAL TOXICOLOGY
Volume 97, Issue -, Pages 141-149
Publisher
Elsevier BV
Online
2016-09-10
DOI
10.1016/j.fct.2016.09.005

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