Imp utation for Li pidomics and Met abolomics (ImpLiMet): a web-based application for optimization and method selection for missing data imputation
Huiting Ou, Anuradha Surendra, Graeme S V McDowell, Emily Hashimoto-Roth, Jianguo Xia, Steffany A L Bennett, Miroslava Čuperlović-Culf, Guoqiang Yu
Abstract
$(1)\text{MAPE}=\frac{100}{N}\underset{i=1}{\overset{N}{\sum}}\frac{x_{i}-y_{i}}{x_{i}}, x_{i}>0,$ where N is the number of missing values, $x_{i}$ is the actual value, and $y_{i}$ is the prediction. The MAPE results for each of the eight imputation methods assessed for each missingness mechanism are displayed and the method with the lowest MAPE value across the missingness mechanisms is highlighted and used for imputation. In general, omics measurements are greater than zero as the minimal value measured corresponds to the minimal level of detection in the measurement, rather than absolute ze

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