Identifying network-based biomarkers of complex diseases from high-throughput data.

@article{Liu2016IdentifyingNB,
  title={Identifying network-based biomarkers of complex diseases from high-throughput data.},
  author={Zhiping Liu},
  journal={Biomarkers in medicine},
  year={2016},
  volume={10 6},
  pages={
          633-50
        }
}
  • Zhiping Liu
  • Published 20 January 2016
  • Biology
  • Biomarkers in medicine
In this work, we review the main available computational methods of identifying biomarkers of complex diseases from high-throughput data. The emerging omics techniques provide powerful alternatives to measure thousands of molecules in cells in parallel manners. The generated genomic, transcriptomic, proteomic, metabolomic and phenomic data provide comprehensive molecular and cellular information for detecting critical signals served as biomarkers by classifying disease phenotypic states… 

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