Article
Integration of somatic mutation, expression and functional data reveals potential driver genes predictive of breast cancer survival.
Bioinformatics (Oxford, England) - 15 Aug 2015
Suo Chen, Hrydziuszko Olga, Lee Donghwan, Pramana Setia, Saputra Dhany, Joshi Himanshu, Calza Stefano, Pawitan Yudi
Abstract excerpt
MOTIVATION: Genome and transcriptome analyses can be used to explore cancers comprehensively, and it is increasingly common to have multiple omics data measured from each individual. Furthermore, there are rich functional data such as predicted impact of mutations on protein coding and gene/protein networks. However, integration of the complex information across the different omics and functional data is still...
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