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Improving MetFrag with statistical learning of fragment annotations
Abstract Background Molecule identification is a crucial step in metabolomics and environmental sciences. Besides in silico fragmentation, as performed by MetFrag, also machine learning and statistical methods evolved, showing an improvement in molecule annotation based on MS/MS data. In this work w...
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Main Authors: | , , |
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Formato: | Artigo |
Idioma: | Inglês |
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BMC
2019-07-01
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Colecção: | BMC Bioinformatics |
Assuntos: | |
Acesso em linha: | http://link.springer.com/article/10.1186/s12859-019-2954-7 |
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