Improving MetFrag with statistical learning of fragment annotations

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 we presen...

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Detalles Bibliográficos
Autores principales: Ruttkies, Christoph, Neumann, Steffen, Posch, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6612146/
https://www.ncbi.nlm.nih.gov/pubmed/31277571
http://dx.doi.org/10.1186/s12859-019-2954-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6612146/
https://www.ncbi.nlm.nih.gov/pubmed/31277571
http://dx.doi.org/10.1186/s12859-019-2954-7

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