Novel naïve Bayes classification models for predicting the chemical Ames mutagenicity.
By Hui Zhang, Yan-Li Kang, Yuan Zhu, K. Zhao, Junyu Liang, L. Ding, Teng-Guo Zhang, Ji Zhang. 2017
58 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Cancer Research, Computational Theory and Mathematics
Citations in the corpus
- Mol2vec: Unsupervised Machine Learning Approach with Chemical Intuition (2018, neutral): “However, the best reported results on the ESOL data set were so far obtained by two molecular graph convolution 9,37 39 on this data set 26 but the former two achieved higher sensitivity values (Table 2). existing literature results (Table 3, Table S6).”