Gene Expression Music Algorithm-Based Characterization of the Ewing Sarcoma Stem Cell Signature

Figure 1

GEMusicA can discriminate between different stem cell types. DNA microarray cel files from embryonic stem cells (ESC) [16], neuronal stem cells (NSC) [21], hematopoietic stem cells (HSC) [19], bone marrow derived mesenchymal stem cells (BM-MSC) [3, 16, 18], two types of umbilical cord blood derived mesenchymal stem cells (UCB1-MSC, UCB2-MSC) [18], and mesenchymal stem cells derived from embryonic stem cells (ESCd-MSC) [16] were RMA-normalized and used for transformation into melodies using the GEMusicA implementation in R. The following parameters were used: , , , , , , , and . Presented is a cluster analysis of the GEMusicA-processed 1114 probe sets (Manhattan distance, complete linkage clustering).