Variable complementary network: a novel approach for identifying biomarkers and their mutual associations

Abstract

Biological variables involved in a disease process often correlate with each other through for example shared metabolic pathways. In addition to their correlation, these variables contain complementary information that is particularly useful for disease classification and prediction. However, complementary information between variables is rarely explored… (More)
DOI: 10.1007/s11306-012-0410-z

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Cite this paper

@article{Li2012VariableCN, title={Variable complementary network: a novel approach for identifying biomarkers and their mutual associations}, author={Hong-Dong Li and Qing-Song Xu and Wan Zhang and Yi-Zeng Liang}, journal={Metabolomics}, year={2012}, volume={8}, pages={1218-1226} }