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Table 1 Parameter settings of biclustering algorithms applied to the Gasch dataset [19].

From: Construction of gene regulatory networks using biclustering and bayesian networks

Algorithm

Parameters

Parameter Description

ISA

tg = 2.0

Genes threshold level

 

tc = 2.0

Condition threshold level

 

SN = 500

No of seeds

CC

Delta = 0.5

Maximum of accepted score

 

Alpha = 1.2

Scaling factor

 

M = 100

Number of biclusters to be found

OPSM

l = 100

Number of passed models for each iteration

K-means

M = 100

Number of Biclusters to be found

 

IN = 100

Number of Iterations

 

RN = 10

Number of replications

 

DM = ED

Distance Metric is Euclidean Distance

Bivisu

NT = 0.82

Data Noise threshold

 

% NR = 0.33

Minimum % of rows

 

NC = 5

Minimum number of columns

 

O% = 25%

Maximum overlap allowed

  1. Parameter settings of biclustering algorithms applied to cell cycle gene expression data of S. cerevisiae provided by Spellman et al. [20]. For more details about these parameters, see corresponding publication.