Article
Pathway Relevance Ranking for Tumor Samples through Network-Based Data Integration.
PloS one - 1 Jan 2015
Verbeke Lieven P C, Van den Eynden Jimmy, Fierro Ana Carolina, Demeester Piet, Fostier Jan, Marchal Kathleen
Abstract excerpt
The study of cancer, a highly heterogeneous disease with different causes and clinical outcomes, requires a multi-angle approach and the collection of large multi-omics datasets that, ideally, should be analyzed simultaneously. We present a new pathway relevance ranking method that is able to prioritize pathways according to the information contained in any combination of tumor related omics datasets. Key to the...
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