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Table 6 Homogeneity comparison of biclusters identified in the yeast cell-cycle dataset using various algorithms

From: Identification of coherent patterns in gene expression data using an efficient biclustering algorithm and parallel coordinate visualization

Algorithm

MSRS/MSRSl*

ACV

 

min

mean

max

min

mean

max

PA

326.0

412.1

552.7

0.8960

0.9416

0.9755

PM

3.694 × 10-4

9.573 × 10-3

3.809 × 10-2

0.7493

0.9219

1

C&C

439.6

554.5

593.3

0.6481

0.9217

0.9768

C&C (log)

2.784 × 10-2

6.262 × 10-2

8.451 × 10-2

0.3489

0.5740

0.9000

ISA

108.9

489.6

794.6

0.8420

0.9247

0.9588

OPSM

480.4

497.1

513.8

0.8866

0.8904

0.8941

xMotifs

1.910 × 10-12

4.820

12.04

0.9982

0.9992

1

  1. * MSRS is evaluated for all the algorithms except PM and C&C (log) which use MSRSl.
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BMC Bioinformatics

ISSN: 1471-2105

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