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Table 1 Total number of identified and enriched biclusters

From: Identifying gene-specific subgroups: an alternative to biclustering

AlgorithmBiclustersEnriched biclusters
CCA349108
ISA16390
K-CPGC342177
Plaid10257
QUBIC269107
Spectral14744
xMOTIFs30960
CPGC3535
  1. Results reported for each algorithm on the 35 gene expression datasets from human tissues and Saccharomyces cerevisae. The defined target is K=10 biclusters for each dataset, for a maximum of 350 biclusters overall. A bicluster is considered significantly enriched if the subset of genes it contains is associated to at least one GO term with an FDR corrected p-value below 5%