Gene Expression Music Algorithms (GEMusicA) use the transformation of gene expression data into melodies for the representation of sample-specific gene expression patterns. Quantitative analysis of similarities between melodies can be used for sample classification. The same algorithm can be used as simple and efficient encryption method. Here, we describe the usage of GEMusicA for the analyses of gene expression data from different stem cell types and stem cell-like tumor cells.
Keywords: Differentiation; Embryonic stem cells; Encryption; Gene expression; Germ cell tumors.