Skip to main content
Figure 4 | BMC Bioinformatics

Figure 4

From: Statistical Test of Expression Pattern (STEPath): a new strategy to integrate gene expression data with genomic information in individual and meta-analysis studies

Figure 4

Cluster analysis for LGMD expression meta-dataset. A. Unsupervised cluster analyses on gene expression data from meta-dataset of LGMDs. Samples of each dataset are grouped separately: the GSE3307 dataset on the left branch and the GSE11681 dataset on the right. B. Cluster tree of unsupervised cluster analysis of the Main Gene set Signature matrix from LGMDs dataset: segregation is guided by disease type and not by dataset. C. Unsupervised cluster analysis result of gene set scores calculated with the STEPath algorithm. LGMD2A from two different datasets clustered together. D. Unsupervised cluster analysis performed on gene set scores calculated with sigPathway algorithm (NTk was the score used, defined as the gene-based normalized statistic obtained by permuting genes). E. Unsupervised cluster analysis based on gene set scores calculated with the GSEA limma algorithm. Clustering based on gene set scores calculated with both sigPathway and limma algorithms failed to link together the two LGMD2A different datasets.

Back to article page