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Table 2 Biclusters obtained by the biclustering algorithm for each fitness functions for GDS3289, GDS2415, GDS2918, GDS3966, GDS3139,GDS4794 datasets

From: Pairwise gene GO-based measures for biclustering of high-dimensional expression data

  Fitness function    Enriched
Dataset   Parameters Size biclusters (%)
  GOmeasure (M1, M2, M3)   BP
   (2, 1, 1) (15.3 ×14.0) 38
  simUI (2, 1, 2) (9.4 ×14.0) 57
   (2, 2, 1) (20.0 ×3.0) 39
   (2, 1, 1) (17.1 ×13.5) 28
GDS3289 simGIC (2, 1, 2) (10.6 ×14.0) 92
   (2, 2, 1) (28.4 ×3.0) 18
   (2, 1, 0) (21.6 ×14.3) 1
  0 (2, 2, 0) (40.6 ×3.4) 5
   (2, 1, 1) (18.1 ×13.9) 4
  simUI (2, 1, 2) (9.1 ×13.4) 36
   (2, 2, 1) (21.9 ×3.1) 8
   (2, 1, 1) (22.9 ×3.1) 0
GDS2415 simGIC (2, 1, 2) (13.4 ×12.5) 44
   (2, 2, 1) (35.3 ×3.0) 8
   (2, 1, 0) (23.2 ×13.4) 0
  0 (2, 2, 0) (41.7 ×3.2) 0
   (2, 1, 1) (40.3 ×6.8) 1
  simUI (2, 1, 2) (40.0 ×6.8) 0
   (2, 2, 1) (53.3 ×3.4) 2
   (2, 1, 1) (31.0 ×6.7) 10
GDS2918 simGIC (2, 1, 2) (13.3 ×7.3) 42
   (2, 2, 1) (34.4 ×3.4) 23
   (2, 1, 0) (36.5 ×7.2) 1
  0 (2, 2, 0) (54.0 ×3.3) 1
   (2, 1, 1) (26.2 ×17.8) 4
  simUI (2, 1, 2) (26.5 ×18.3) 6
   (2, 2, 1) (41.8 ×3.4) 1
   (2, 1, 1) (23.2 ×17.8) 11
GDS3966 simGIC (2, 1, 2) (13.9 ×19.1) 45
   (2, 2, 1) (35.7 ×3.3) 6
   (2, 1, 0) (26.5 ×18.3) 3
  0 (2, 2, 0) (42.3 ×3.4) 0
   (2, 1, 1) (35.6 ×13.0) 2
  simUI (2, 1, 2) (35.2 ×13.2) 3
   (2, 2, 1) (28.9 ×9.7) 1
   (2, 1, 1) (31.6 ×13.4) 7
GDS3139 simGIC (2, 1, 2) (18.4 ×13.1) 23
   (2, 2, 1) (26.9 ×9.9) 4
   (2, 1, 0) (35.1 ×13.4) 2
  0 (2, 2, 0) (27.7 ×9.8) 3
   (2, 1, 1) (26.0 ×17.1) 5
  simUI (2, 1, 2) (25.7 ×17.2) 3
   (2, 2, 1) (46.3 ×3.8) 0
   (2, 1, 1) (23.7 ×16.7) 13
GDS4794 simGIC (2, 1, 2) (17.0 ×16.43) 28
   (2, 2, 1) (36.6 ×3.7) 10
   (2, 1, 0) (25.7 ×17.1) 4
  0 (2, 2, 0) (46.8 ×3.8) 1
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