BMC Bioinformatics

Table 7 Statistical 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	no. of biclusters	size*		no. of genes			no. of conditions
		min	max	min	mean	max	min	mean	max
PA	25	10 × 5	597 × 17	10	97.64	597	5	13.16	17
PM	59	10 × 6	518 × 17	10	46.09	518	5	9.085	17
C&C	31	10 × 5	1391 × 17	10	91.74	1391	5	11.6	17
C&C (log)	5	12 × 13	2270 × 17	12	486.2	2270	13	14.80	17
ISA	18	28 × 5	149 × 6	28	74.56	149	5	5.667	7
OPSM	2	132 × 7	469 × 5	132	300.5	469	5	6	7
xMotifs	13	11 × 5	115 × 5	11	40.08	115	5	5	5

* The size of a bicluster is determined by its number of values, i.e. product of numbers of rows and columns.

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ISSN: 1471-2105

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