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MetaRF: attention-based random forest for reaction yield prediction with a few trails
Artificial intelligence has deeply revolutionized the field of medicinal chemistry with many impressive applications, but the success of these applications requires a massive amount of training samples with high-quality annotations, which seriously limits the wide usage of data-driven methods. In th...
Autores principales: | Chen, Kexin, Chen, Guangyong, Li, Junyou, Huang, Yuansheng, Wang, Ercheng, Hou, Tingjun, Heng, Pheng-Ann |
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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/PMC10084704/ https://www.ncbi.nlm.nih.gov/pubmed/37038222 http://dx.doi.org/10.1186/s13321-023-00715-x |
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