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Table 3 Statistical properties of biclustering results for the artificial datasets embedded with multiplicative-related biclusters before post-filtering

From: Identification of coherent patterns in gene expression data using an efficient biclustering algorithm and parallel coordinate visualization

Property Algorithm Noise s.d.
   0 0.1 0.2 0.3 0.4 0.5
Average number of biclusters PM 2 2 2.2 3 2.4 2.6
  PAL 2 2 2.2 3.2 3 3.6
  C&C 20 20 20 20 20 20
  pCluster 1109 956.4 855.8 753.4 658.8 729.2
Average number of Rows PM 25 24.80 24.17 23.72 20.20 23.40
  PAL 25 23.70 21 20.10 19.52 19.72
  C&C 5.850 5.560 6.900 8.820 8.270 6.940
  pCluster 19.94 19.93 19.87 19.75 19.71 19.66
Average number of columns PM 7 7 6.367 6.400 5.900 5.933
  PAL 7 7 6.433 5.517 5.567 5.417
  C&C 4.300 3.870 5.020 5.660 5.570 5.110
  pCluster 4.346 4.345 4.297 4.224 4.178 4.158