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Metabolite Identification through Machine Learning — Tackling CASMI Challenge Using FingerID
Metabolite identification is a major bottleneck in metabolomics due to the number and diversity of the molecules. To alleviate this bottleneck, computational methods and tools that reliably filter the set of candidates are needed for further analysis by human experts. Recent efforts in assembling la...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2013
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3901273/ https://www.ncbi.nlm.nih.gov/pubmed/24958002 http://dx.doi.org/10.3390/metabo3020484 |