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Chemical property prediction under experimental biases

Predicting the chemical properties of compounds is crucial in discovering novel materials and drugs with specific desired characteristics. Recent significant advances in machine learning technologies have enabled automatic predictive modeling from past experimental data reported in the literature. H...

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Detalles Bibliográficos
Autores principales:	Liu, Yang, Kashima, Hisashi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9114131/ https://www.ncbi.nlm.nih.gov/pubmed/35581358 http://dx.doi.org/10.1038/s41598-022-12116-5

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