Integration Analysis of Three Omics Data Using Penalized Regression Methods: An Application to Bladder Cancer

@inproceedings{Pineda2015IntegrationAO,
  title={Integration Analysis of Three Omics Data Using Penalized Regression Methods: An Application to Bladder Cancer},
  author={S{\'i}lvia Pineda and Francisco X Real and Manolis Kogevinas and Alfredo Carrato and Stephen J. Chanock and N{\'u}ria Malats and Kristel van Steen and David McConkey},
  booktitle={PLoS genetics},
  year={2015}
}
Omics data integration is becoming necessary to investigate the genomic mechanisms involved in complex diseases. During the integration process, many challenges arise such as data heterogeneity, the smaller number of individuals in comparison to the number of parameters, multicollinearity, and interpretation and validation of results due to their complexity and lack of knowledge about biological processes. To overcome some of these issues, innovative statistical approaches are being developed… CONTINUE READING

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