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Table 2 Simulation results for dataset D 1

From: Unsupervised Bayesian linear unmixing of gene expression microarrays

(a) R= 2
  uBLU PCA NMF BFRM GB-GMF
MSE r 2 (×1 0 2 ) 0.39 N/A N/A 205.99 267.42
  0.60 6.04 61.12 N/A N/A
  0.54 0.97 9.78 325.58 67.14
GMSE r 2 (×1 0 3 ) 0.04 N/A N/A 64.39 226.58
  0.04 2.00 2.00 N/A N/A
  0.05 0.30 0.28 75.87 41.33
SAD r 2 (×1 0 1 ) 0.46 N/A N/A 21.69 12.48
  0.29 3.49 3.50 N/A N/A
  0.28 1.49 1.50 23.24 27.43
GSAD (×10−2) 3.39 20.38 20.38 24.04 37.35
RE 0.18 9.12 9.12 1.94 9.16
Time (s) 1.24×103 0.03 0.71 47.15 0.39×103
(b) R = 3
  uBLU PCA NMF BFRM GB-GMF
MSE r 2 (×1 0 2 ) 0.39 6.01 0.48 212.30 40.27
  0.60 6.53 0.45 681.42 147.74
  0.54 5.86 0.28 137.22 94.90
GMSE r 2 (×1 0 3 ) 0.04 6.62 0.19 76.09 45.29
  0.04 2.40 0.01 142.72 17.37
  0.05 0.84 0.05 76.22 33.78
SAD r 2 (×1 0 1 ) 0.46 1.86 0.53 10.68 11.86
  0.29 1.18 0.31 15.18 12.50
  0.28 1.36 0.26 5.33 13.96
GSAD (×10−2) 3.37 3.39 3.38 24.23 33.38
RE 0.18 0.18 0.18 1.84 0.18
Time (s) 1.24×103 0.10 0.95 53.60 0.56×103
(c) R = 4
  uBLU PCA NMF BFRM GB-GMF
MSE r 2 (×1 0 2 ) 0.39 6.02 87.78 205.66 195.89
  0.60 6.53 0.45 247.96 101.34
  0.54 8.03 0.26 330.01 68.69
GMSE r 2 (×1 0 3 ) 0.04 23.82 26.56 64.59 57.58
  0.04 11.70 0.23 114.02 3.10
  0.05 6.37 18.04 75.47 27.72
SAD r 2 (×1 0 1 ) 0.46 1.86 6.14 9.74 8.84
  0.29 1.18 0.31 22.15 26.80
  0.28 1.36 0.26 8.17 27.32
GSAD (×10−2) 3.39 3.34 3.36 28.62 29.23
RE 0.18 0.18 0.18 2.08 0.18
Time (s) 1.24×103 0.11 0.96 63.88 0.70×103
  1. MSEs, GMSEs, SADs, GSADs, REs and computational times between the proposed uBLU algorithm and PCA, NMF, BFRM and GB-GMF methods.