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Figure 5 | BMC Bioinformatics

Figure 5

From: Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes

Figure 5

Hierarchical clustering of leukemia samples. Hierarchical clustering of leukemia samples based on expression values of genes selected by RFE analysis. The colored bars indicate the true class affiliations of every sample, the black and white bars below indicate study origin. (a) Clustering result for data from Valk et al. or (b) Bullinger et al. using only genes selected by RFE on this data set. (c) Clustering of data from Valk et al. after data integration by MRS algorithm using only expression values of genes selected by RFE on the data of Bullinger et al. (d) Clustering of data from Bullinger et al. based on genes selected on data from Valk et al. Data integrated by QD or non-integrated data yielded results similar to those here (data not shown). (e) Clustering results of all samples of both studies using gene lists generated on the combined set integrated by MRS or (f) QD. Abbreviations: MRS, median rank scores; QD, quantile discretization, RFE, recursive feature elimination.

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