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Table 3 Performance between PCOBA and other biclustering algorithm.

From: A probabilistic coevolutionary biclustering algorithm for discovering coherent patterns in gene expression dataset

 

PCOBA

CC

OPSM

Avg. Residue

219.15 ± 1.14

221.40 ± 8.99

447.72 ± 88.36

Avg. Variance

412.11 ± 17.62

404.67 ± 134.26

1224.89 ± 415.95

Avg. Volume

1321.30 ± 102.82

1369.18 ± 366.90

1365.40 ± 1642.85

Avg. Num. (Genes)

92.40 ± 1.64

98.54 ± 21.89

265.10 ± 412.22

Avg. Num. (Conditions)

14.30 ± 0.48

12.18 ± 2.37

8.50 ± 3.02

  1. Mean and standard deviation values of the ten best biclusters after single run are shown.
  2. The lower score means the expression values in cluster are more similar.