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Genomic data integration using guided clustering

Maneck, Matthias ; Schrader, Alexandra ; Kube, Dieter ; Spang, Rainer



Abstract

MOTIVATION: In biomedical research transcriptomic, proteomic or metabolomic profiles of patient samples are often combined with genomic profiles from experiments in cell lines or animal models. Integrating experimental data with patient data is still a challenging task due to the lack of tailored statistical tools. RESULTS: Here we introduce guided clustering, a new data integration strategy that ...

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