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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.