iOmicsPASS: a novel method for integration of multi-omics data over biological networks and discovery of predictive subnetworks

@article{Koh2018iOmicsPASSAN,
  title={iOmicsPASS: a novel method for integration of multi-omics data over biological networks and discovery of predictive subnetworks},
  author={Hiromi W L Koh and Damian Fermin and Kwok Pui Choi and Rob M. Ewing and Hyungwon Choi},
  journal={bioRxiv},
  year={2018}
}
We developed iOmicsPASS, an intuitive method for network-based multi-omics data integration and detection of biological subnetworks for phenotype prediction. The method converts abundance measurements into co-expression scores of biological networks and uses a powerful phenotype prediction method adapted for network-wise analysis. Simulation studies show that the proposed data integration approach considerably improves the quality of predictions. We illustrate iOmicsPASS through the integration… 
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