SELECTING BIOMARKERS FOR PRIMARY HYPERLIPIDEMIA AND UNSTABLE ANGINA IN THE CONTEXT OF NEURO-ENDOCRINE-IMMUNE NETWORK BY FEATURE SELECTION METHODS

@inproceedings{Chen2010SELECTINGBF,
  title={SELECTING BIOMARKERS FOR PRIMARY HYPERLIPIDEMIA AND UNSTABLE ANGINA IN THE CONTEXT OF NEURO-ENDOCRINE-IMMUNE NETWORK BY FEATURE SELECTION METHODS},
  author={Jianxin Chen and Zhenhua Jia and Xiangchun Wu and Guoqiang Yuan and Cong Wei and Chenglong Zheng and Jianqiang Yi and Yiling Wu},
  year={2010}
}
Hyperlipidemia (HL) and unstable angina (UA) are two sequential diseases that cause more and more morbidity and mortality world-wide. Biomarkers selection in the level of physical and chemical specifications (PCS) plays a key role in understanding the pathology of both diseases. Neuro-Endocrine-Immune (NEI) system is a preferable pathway to investigate the interaction network of related PCS in the context of HL, and UA. Data mining approaches are a kind of advanced statistical methods to… CONTINUE READING