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Table 2 Statistical properties of biclustering results for the artificial datasets embedded with additive-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 PA 4 4 4 4.4 5.8 6.6
  C&C 40 40 40 40 40 40
  pCluster 23 366.6 378.2 255.6 124.2 21.40
Average number of rows PA 35 35 34.85 33.67 31.87 32.25
  C&C 7.625 7.640 8.025 7.980 8.265 7.895
  pCluster 25.57 23.14 23.28 22.98 22.69 21.74
Average number of columns PA 8.250 8.250 8.250 7.480 7.262 7.228
  C&C 3.725 4.500 4.915 4.765 5.070 5.280
  pCluster 5.217 5.224 5.115 4.873 4.468 4.237