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tofaquih/imputation_of_untargeted_metabolites: Official Release v1.4

Name: tofaquih/imputation_of_untargeted_metabolites: Official Release v1.4
Creator: Tariq Faquih

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 31 Oct 2020Publisher:Zenodo

Authors: Tariq Faquih;

doi: 10.5281/zenodo.3778919 , 10.5281/zenodo.4167193 , 10.5281/zenodo.6347808

tofaquih/imputation_of_untargeted_metabolites: Official Release v1.4

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Abstract

Update 2022 03 11 Added two new functions: 1) use_covars: Logical. Optional. Whether the covars will be used to impute the missing values in the metabolites. Default = FALSE. 2) maxN_input: sets the max number of ccm metabolites to be used for the imputation. Default is 10. Is overridden if covars_only_mode == TRUE. Useful in case of collinear/constant variables. Added a line for makeing a prediction matrix (make.predictorMatrix(minidf) Added a collinearity issue check. It will be returned from the output object #$Msummary$collinear Msummary also returns the loggedEvents from the Mice function (mice package) Script is compatible with R 4.1.0 Script tested on Nightingale data Full Changelog: https://github.com/tofaquih/imputation_of_untargeted_metabolites/compare/v1.3...v1.4

Related Organizations

Leiden University Medical Center
Netherlands

1 Research products, page 1 of 1

tofaquih/imputation_of_untargeted_metabolites v1.2
2020HasVersion

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