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Table 2 The value of parameters in synthetic dataset for four biclustering algorithm

From: A binary biclustering algorithm based on the adjacency difference matrix for gene expression data analysis

Pattern Type AMBB Bimax BiBit QUBIC
Shift-pattern Non-noise \(\delta\) = 6 m = 5 m = 5 c = 0.55
Noise \(\delta\) = 9 m = 5 m = 5 c = 0.55
Scale-pattern Non-noise \(\delta\) = 4 m = 4 m = 4 c = 0.85
Noise \(\delta\) = 13 m = 6 m = 10 c = 0.55
Shift-scale pattern Non-noise \(\delta\) = 4 m = 4 m = 4 c = 0.85
Noise \(\delta\) = 20 m = 7 m = 10 c = 0.45
Overlapping Non-noise (2 × 5) \(\delta\) = 5 m = 6 m = 2 c = 0.85
Noise (2 × 5) \(\delta\) = 9 m = 2 m = 6 c = 0.75
Non-noise (5 × 5) \(\delta\) = 14 m = 7 m = 10 c = 0.75
Noise (5 × 5) \(\delta\) = 19 m = 4 m = 2 c = 0.65