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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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| Vydáno v: | Metabolomics |
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| Hlavní autoři: | , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2018
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| Témata: | |
| On-line přístup: | 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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