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Table 1 RMSE for missing data imputation for differing numbers of randomly removed arrays

From: Hierarchical Bayesian modelling of gene expression time series across irregularly sampled replicates and clusters

 

1 of 56

5 of 56

10 of 56

20 of 56

HGP

0 . 3 0 ± 0 . 2 7

0 . 3 2 ± 0 . 0 9

0 . 3 4 ± 0 . 0 5

0 . 3 8 ± 0 . 0 6

GP

0.46±0.23

0.44±0.09

0.43±0.08

0.46±0.07

Mean

0.52±0.24

0.48±0.12

0.48±0.11

0.48±0.08

Median

0.50±0.25

0.46±0.11

0.47±0.11

0.48±0.08

  1. The rows correspond to Hierarchical GPs (HGP), non-hierarchical GPs (GP), and imputation using the mean and median of available replicates. Columns represent increasing amounts of missing data.
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BMC Bioinformatics

ISSN: 1471-2105

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