Fjodorova, N. Et Al. 2023. Cheminformatics and Machine Learning Approaches to Assess Aquatic Toxicity Profiles of Fullerene Derivatives. International Journal of Molecular Sciences , vol.24, no.18 .

Fjodorova, N., Novič, M., Venko, K., Rasulev, B., Türker Saçan, M., Tugcu, G., ... Sağ Erdem, S.(2023). Cheminformatics and Machine Learning Approaches to Assess Aquatic Toxicity Profiles of Fullerene Derivatives. International Journal of Molecular Sciences , vol.24, no.18.

Fjodorova, Natalja Et Al. "Cheminformatics and Machine Learning Approaches to Assess Aquatic Toxicity Profiles of Fullerene Derivatives," International Journal of Molecular Sciences , vol.24, no.18, 2023

Fjodorova, Natalja Et Al. "Cheminformatics and Machine Learning Approaches to Assess Aquatic Toxicity Profiles of Fullerene Derivatives." International Journal of Molecular Sciences , vol.24, no.18, 2023

Fjodorova, N. Et Al. (2023) . "Cheminformatics and Machine Learning Approaches to Assess Aquatic Toxicity Profiles of Fullerene Derivatives." International Journal of Molecular Sciences , vol.24, no.18.

@article{article, author={Natalja Fjodorova Et Al. }, title={Cheminformatics and Machine Learning Approaches to Assess Aquatic Toxicity Profiles of Fullerene Derivatives}, journal={International Journal of Molecular Sciences}, year=2023}