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