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Learning chemistry: exploring the suitability of machine learning for the task of structure-based chemical ontology classification
Chemical data is increasingly openly available in databases such as PubChem, which contains approximately 110 million compound entries as of February 2021. With the availability of data at such scale, the burden has shifted to organisation, analysis and interpretation. Chemical ontologies provide st...
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| Vydáno v: | J Cheminform |
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| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Springer International Publishing
2021
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7962259/ https://ncbi.nlm.nih.gov/pubmed/33726837 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13321-021-00500-8 |
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