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Application of random forest based approaches to surface-enhanced Raman scattering data
Surface-enhanced Raman scattering (SERS) is a valuable analytical technique for the analysis of biological samples. However, due to the nature of SERS it is often challenging to exploit the generated data to obtain the desired information when no reporter or label molecules are used. Here, the suita...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7096517/ https://www.ncbi.nlm.nih.gov/pubmed/32214194 http://dx.doi.org/10.1038/s41598-020-62338-8 |