Least absolute shrinkage and selection operator type methods for the identification of serum biomarkers of overweight and obesity: simulation and application

Least absolute shrinkage and selection operator type methods for the identification of serum biomarkers of overweight and obesity: simulation and application

Background: The study of circulating biomarkers and their association with disease outcomes has become progressively complex due to advances in the measurement of these biomarkers through multiplex technologies. The Least Absolute Shrinkage and Selection Operator (LASSO) is a data analysis method th...

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Bibliographic Details
Main Authors: Vasquez, Monica M., Hu, Chengcheng, Roe, Denise J., Chen, Zhao, Halonen, Marilyn, Guerra, Stefano
Other Authors: Univ Arizona, Mel & Enid Zuckerman Coll Publ Hlth
Language:en
Published: BIOMED CENTRAL LTD 2016
Subjects:
LASSO
Biomarkers
High-Dimensional
Obesity
Overweight
Online Access:http://hdl.handle.net/10150/622824
http://arizona.openrepository.com/arizona/handle/10150/622824

Internet

http://hdl.handle.net/10150/622824
http://arizona.openrepository.com/arizona/handle/10150/622824

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