Identifying gene-specific subgroups: an alternative to biclustering

BMC Bioinformatics

Table 1 Total number of identified and enriched biclusters

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%

ISSN: 1471-2105