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Table 1 Compared biclustering algorithms and their parameter settings

From: A comparison and evaluation of five biclustering algorithms by quantifying goodness of biclusters for gene expression data

Method

GDS1620 datasets

Pathway datasets

BIMAX

minr = 5, minc = 2

Minr = 5, minc = 3

FABIA

p = 16, alpha = 0.1, cyc = 500

p = 50, alpha = 0.1, cyc = 500

ISA

no.seeds = 13

no.seeds = 50

QUBIC

k = 5, f = 0.1, c = 0.95, o = 50, q = 0.06, r = 2

k = 5, f = 0.5, c = 0.65, o = 25, q = 0.1, r = 2

SAMBA

opt = valsp_3ap, overlap = 0.1, max = 4

opt = valsp_3ap, overlap = 0.1, max = 7

  1. The five algorithms’ parameters were set optimally according to previous studies and our tests for different datasets.