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Table 2 A comparison of different imputation methods

From: Optimization and expansion of non-negative matrix factorization

 

Baseline

Medians

MICE

MissForest

NMF

MSE

4.4272

0.5229

0.9950

0.4175

0.4191

MKL

0.3166

0.0389

0.0688

0.0298

0.0301

Time (Sec.)

0.0000

0.0000

90.2670

42.4010

0.1400

  1. Imputations on a subset of NSCLC microarray data, which composes 200 genes and 100 samples. 30% of the entries are randomly deleted, i.e., missed. MSE = mean square error, MKL = Mean KL-divergence distance and Time = user time
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BMC Bioinformatics

ISSN: 1471-2105

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