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@@ -78,7 +78,8 @@ Overall, the numbers of negatives and positives in this data set were balanced w
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  In addition, 805 approved drugs from DrugBank that were not involved in the training set, and 664 Ames strong positive samples
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  from DGM/NIHS were built as an external validation set.
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- We downloaded the [original dataset](https://github.com/Louchaofeng/Ames-mutagenicity-optimization) which was uploaded in 2023.
 
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  ## Data splits
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  Here we have used the Realistic Split method described in [(Martin et al., 2018)](https://doi.org/10.1021/acs.jcim.7b00166) to split the MutagenLou2023 dataset.
 
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  In addition, 805 approved drugs from DrugBank that were not involved in the training set, and 664 Ames strong positive samples
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  from DGM/NIHS were built as an external validation set.
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+ This is a mirror of the [official Github repo](https://github.com/Louchaofeng/Ames-mutagenicity-optimization) where the dataset was uploaded in 2023.
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  ## Data splits
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  Here we have used the Realistic Split method described in [(Martin et al., 2018)](https://doi.org/10.1021/acs.jcim.7b00166) to split the MutagenLou2023 dataset.