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Evolution of Support Vector Machine and Regression Modeling in Chemoinformatics and Drug Discovery
The support vector machine (SVM) algorithm is one of the most widely used machine learning (ML) methods for predicting active compounds and molecular properties. In chemoinformatics and drug discovery, SVM has been a state-of-the-art ML approach for more than a decade. A unique attribute of SVM is t...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer International Publishing
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9325859/ https://www.ncbi.nlm.nih.gov/pubmed/35304657 http://dx.doi.org/10.1007/s10822-022-00442-9 |