NS-kNN: a modified k -nearest neighbors approach for imputing metabolomics data

ConclusionAccounting for the nonuniform distribution of missing values in metabolomics data can significantly improve the results of imputation algorithms. The NS-kNN method imputes missing metabolomics data more accurately than existing kNN-based approaches when used on realistic datasets.
Source: Metabolomics - Category: Biology Source Type: research
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