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NS-kNN: A modified k-nearest neighbors approach for imputing metabolomics data
INTRODUCTION: A common problem in metabolomics data analysis is the existence of a substantial number of missing values, which can complicate, bias, or even prevent certain downstream analyses. One of the most widely-used solutions to this problem is imputation of missing values using a k-nearest ne...
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| Publicat a: | Metabolomics |
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| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6532628/ https://ncbi.nlm.nih.gov/pubmed/30830437 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11306-018-1451-8 |
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