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Table 2 RMSE of missing data imputation for hierarchical Gaussian processes (HGP) principal component analysis (PCA) and K-nearest neighbour (KNN)

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

 

Replicate median

Full model

HGP

0 . 1 3 ± 0 . 0 3

0 . 0 5 ± 0 . 0 1

PCA

0.15±0.03

0.10±0.02

KNN

0.17±0.04

0.13±0.02

  1. The first column shows the RMSE measured against the replicate-median, and the second column shows the RMSE against the model with no missing data.
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BMC Bioinformatics

ISSN: 1471-2105

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