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Missing Value Imputation Approach for Mass Spectrometry-based Metabolomics Data
Missing values exist widely in mass-spectrometry (MS) based metabolomics data. Various methods have been applied for handling missing values, but the selection can significantly affect following data analyses. Typically, there are three types of missing values, missing not at random (MNAR), missing...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5766532/ https://www.ncbi.nlm.nih.gov/pubmed/29330539 http://dx.doi.org/10.1038/s41598-017-19120-0 |