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Missing marks imputed from existing data have been used to expand the number of chromatin state annotations [ 24].
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Missing values were imputed with impute package [ 48].
c: 3 missing values imputed.
b: 31 missing values imputed.
6 QOLtdi: QOLtd with missing data imputed.
Missing values were imputed using KNN-impute in the MultiExperiment Viewer [72], [73].
Missing values were imputed using the "impute" option from FastClus procedure (SAS).
Missing values were imputed in R using the method impute.knn in the library impute [ 14].
Missing values were imputed in R using the method impute.knn in the library impute [ http://rss.acs.unt.edu/Rdoc/library/impute/html/impute.knn.html].
Missing values were imputed using multiple imputations.
Missing values were imputed by nearest neighbor averaging (impute R package).
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