Table 1 This table shows various statistics of all the biclusters obtained using RAP and our proposed ET-bicluster algorithms from Mega Yeast and Hughes et al's microarray gene-expression data sets

Error-tolerant biclusters on Mega Yeast data set

ET-bicluster _{M 1}

α = 0.5, ε= 0 for RS ε [120 150), ε = 0.25 for RS ≥ 150

153,960

361

500

295

2:128, 3:235, 4:8, 5:76, 6:39, 7:7, 8:2, 9:1, 10:2, 11:1, 13:1

10,560

ET-bicluster _{M 2}

α = 0.3, ε = 0 for RS ∈ [60 90), ε = 0.25 for RS ≥ 90

271,101

792

500

233

3:203, 4:28, 5:177, 6:80, 7:5, 8:3, 9:3, 10:1

33,000

RAP biclusters on Mega Yeast data set

RAP _M1

α = 0.5, RS ≥ 120

33,330

361

500

247

2:68, 3:379, 4:33, 5:16, 6:4

642

RAP _{M 2}

α = 0.3, RS ≥ 60

94,806

792

500

241

3:384, 4:68, 5:43, 6:5

7,580

Error-tolerant biclusters on Hughes et al's data set

ET-bicluster _{H 1}

α = 0.8, ε = 0 for RS ∈ [10 15), ε = 0.25 for RS ≥ 15

150,372

506

496

437

2:210, 3:187, 4:12, 5:66, 6:14, 7:3, 8:1, 10:1, 11:1, 13:1

8,360

ET-bicluster _{H 2}

α = 0.5, ε = 0 for RS ∈ [6 10), ε = 0.25 for RS >10

234,761

1135

500

443

2:115, 3:258, 4:22, 5:69, 6:24, 7:6, 8:1, 9:2, 11:1, 13:1, 14:1

21,745

RAP biclusters on Hughes et al's data set

RAP _{h 1}

α = 0.8, RS ≥ 10

56,009

506

495

438

2:212, 3:207, 4:25, 5:40, 6:5, 7:3, 8:2, 11:1

2,835

RAP _{h 2}

α = 0.5, RS ≥ 6

80,335

1135

500

405

2:96, 3:303, 4:18, 5:75, 6:2, 7:2, 8:3, 12:1

1,505