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Annotation-based distance measures for patient subgroup discovery in clinical microarray studies

Lottaz, Claudio ; Toedling, Joern ; Spang, Rainer



Abstract

MOTIVATION: Clustering algorithms are widely used in the analysis of microarray data. In clinical studies, they are often applied to find groups of co-regulated genes. Clustering, however, can also stratify patients by similarity of their gene expression profiles, thereby defining novel disease entities based on molecular characteristics. Several distance-based cluster algorithms have been ...

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