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The Local-Balanced Model for Improved Machine Learning Outcomes on Mass Spectrometry Data Sets and Other Instrumental Data
One unifying challenge when classifying biological samples with mass spectrometry data is overcoming the obstacle of sample-to-sample variability so that differences between groups, such as between a healthy set and a disease set, can be identified. Similarly, when the same sample is re-analyzed und...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8516084/ https://www.ncbi.nlm.nih.gov/pubmed/33580828 http://dx.doi.org/10.1007/s00216-020-03117-2 |