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Table 4 Summary of experimental results for the microarrays in Table 3

From: Configurable pattern-based evolutionary biclustering of gene expression data

Dataset Algorithm NumBic Genes Conditions VEt Mean gene variance  
  OPSM 14 496.1 ± 791.1 8.6 ± 4.4 0.189 ± 0.051 1.39×105 ± 2.23×105  
  ISA 0 - - - -  
Yeast 2884x17 CC 100 34.0 ± 64.2 7.6 ± 3.2 0.151 ± 0.048 3.20×103 ± 3.16×103  
  Bimax 56 2297.6 ± 26.1 15.3 ± 0.5 0.207 ± 0.004 1.42×105 ± 5.41×103  
  Evo-Bexpa 100 44.0 ± 33.7 11.8 ± 3.9 0.051 ± 0.027 9.81×102 ± 5.00×102  
  OPSM 12 1151.5 ± 1809.1 7.8 ± 4.1 0.155 ± 0.072 2.51×108 ± 4.22×108  
  ISA 20 377.0 ± 191.0 2.7 ± 0.8 0.145 ± 0.053 5.98×108 ± 3.85×108  
ET 7129x60 xMotifs 1000 2134.6 ± 830.4 5.0 ± 0.0 0.135 ± 0.021 9.61×107 ± 3.74×107  
  CC 100 53.1 ± 100.4 11.9 ± 7.9 0.310 ± 0.082 6.14×104 ± 2.06×105  
  Evo-Bexpa 100 22.5 ± 6.8 50.8 ± 5.7 0.011 ± 0.003 1.78×107 ± 1.59×107  
  OPSM 12 924.3 ± 1633.3 7.8 ± 4.3 0.103 ± 0.047 1.75×108 ± 2.89×108  
Leukemia 7129x72 ISA 34 253.1 ± 172.1 3.1 ± 1.1 0.147 ± 0.049 3.31×108 ± 2.17×108  
  CC 100 53.5 ± 232.4 13.9 ± 8.6 0.265 ± 0.067 4.32×104 ± 8.53×104  
  Evo-Bexpa 100 18.4 ± 2.9 63.3 ± 5.9 0.008 ± 0.002 4.46×106 ± 2.97×106  
  OPSM 27 1170.6 ± 3274.1 16.2 ± 8.8 0.399 ± 0.163 1.73×107 ± 5.55×107  
Steminal 26127x30 ISA 0 - - - -  
  CC 100 179.1 ± 813.6 13.0 ± 3.1 0.219 ± 0.071 4.84×104 ± 1.19×105  
  Evo-Bexpa 100 33.8 ± 17.9 26.3 ± 2.4 0.009 ± 0.004 4.80×105 ± 2.69×105  
  1. Results are represented by the number of biclusters obtained, means and deviations of their volume (number of genes and experimental conditions), and means and deviations of their VE t values and mean gene variance (see section Methods).