moCluster: Identifying Joint Patterns Across Multiple Omics Data Sets.

Abstract

Increasingly, multiple omics approaches are being applied to understand the complexity of biological systems. Yet, computational approaches that enable the efficient integration of such data are not well developed. Here, we describe a novel algorithm, termed moCluster, which discovers joint patterns among multiple omics data. The method first employs a… (More)
DOI: 10.1021/acs.jproteome.5b00824

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Cite this paper

@article{Meng2016moClusterIJ, title={moCluster: Identifying Joint Patterns Across Multiple Omics Data Sets.}, author={Chen Meng and Dominic Helm and Martin Frejno and Bernhard Kuster}, journal={Journal of proteome research}, year={2016}, volume={15 3}, pages={755-65} }