Figure 1.
Expression patterns of genes across samples in two types of biclusters.
(A) Bicluster containing genes having expression values correlated across the samples. (B) Bicluster containing genes exhibiting a limited variance in the expression values across the considered samples. The X-axis represents the samples included in the bicluster, the Y-axis represents the expression level, and each line shows the expression values of a gene (included in the bicluster) along the various samples of the bicluster.
Table 1.
The class and availability of biclustering methods.
Table 2.
The biclustering methods specifications and testing data types.
Table 3.
Various specifications considered for the biclustering methods.
Table 4.
Different types of parameters used by the biclustering methods.
Figure 2.
Sample-based (i.e. sample differentiation) and gene-based benchmarks (i.e. GO-Sig and TiGER-Sig) for thirteen biclustering and two clustering methods for the Multi-tissue type (A) and the breast tumour (B) data.
Figure 3.
Running time of the thirteen biclustering and two clustering methods on the Breast cancer microarray and multi-tissue type microarray.