Machine learning to predict developmental neurotoxicity with high-throughput data from 2D bio-engineered tissues.
- DOI
- 10.1109/icmla.2019.00055
- Published
- 2019 Dec
- Container
- Proceedings of the ... International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1109/icmla.2019.00055,
title = {Machine learning to predict developmental neurotoxicity with high-throughput data from 2D bio-engineered tissues.},
author = {Kuusisto F and Costa VS and Hou Z and Thomson J and Page D and Stewart R},
year = {2019},
journal = {Proceedings of the ... International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications},
doi = {10.1109/icmla.2019.00055},
url = {https://doi.org/10.1109/icmla.2019.00055}
}RIS
TY - JOUR TI - Machine learning to predict developmental neurotoxicity with high-throughput data from 2D bio-engineered tissues. AU - Kuusisto F AU - Costa VS AU - Hou Z AU - Thomson J AU - Page D AU - Stewart R PY - 2019 JO - Proceedings of the ... International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications DO - 10.1109/icmla.2019.00055 UR - https://doi.org/10.1109/icmla.2019.00055 ER -
APA
F, K., VS, C., Z, H., J, T., D, P., & R, S. (2019). Machine learning to predict developmental neurotoxicity with high-throughput data from 2D bio-engineered tissues.. Proceedings of the ... International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications. https://doi.org/10.1109/icmla.2019.00055
Source records
- pubmed · retrieved 2026-09-25T02:57:17.912Z