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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