Submitted to the Journal of Chemical Information and Modeling - under review
In this repository you can find:
- The ChemRxiv preprint of our full paper
- Source code to reproduce our experiments
The dataset used in our experiments can be downloaded here. For further details about implementation and the datasets used, please refer to our paper.
If you find this work useful in your research, please consider citing our paper:
@article{martínezMultitask2022,
place={Cambridge},
title={Multi-Task Deep Neural Networks for Ames Mutagenicity Prediction},
DOI={10.26434/chemrxiv-2022-852tf},
journal={ChemRxiv},
publisher={Cambridge Open Engage},
author={Martínez, María Jimena and Sabando, María Virginia and Soto, Axel J. and Roca, Carlos and Requena-Triguero, Carlos and Campillo, Nuria E. and Páez, Juan A. and Ponzoni, Ignacio},
year={2022},
note={This content is a preprint and has not been peer-reviewed.}
}