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Semi-supervised machine learning for automated species identification by collagen peptide mass fingerprinting
BACKGROUND: Biomolecular methods for species identification are increasingly being utilised in the study of changing environments, both at the microscopic and macroscopic levels. High-throughput peptide mass fingerprinting has been largely applied to bacterial identification, but increasingly used t...
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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6019507/ https://ncbi.nlm.nih.gov/pubmed/29940843 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2221-3 |
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