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Combatting over-specialization bias in growing chemical databases
BACKGROUND: Predicting in advance the behavior of new chemical compounds can support the design process of new products by directing the research toward the most promising candidates and ruling out others. Such predictive models can be data-driven using Machine Learning or based on researchers’ expe...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10197453/ https://www.ncbi.nlm.nih.gov/pubmed/37208694 http://dx.doi.org/10.1186/s13321-023-00716-w |