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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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| 出版年: | BMC Bioinformatics |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6612146/ https://ncbi.nlm.nih.gov/pubmed/31277571 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-2954-7 |
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