TY - JOUR
T1 - Detection of viruses via statistical gene expression analysis
AU - Chen, Minhua
AU - Carlson, David
AU - Zaas, Aimee
AU - Woods, Christopher W.
AU - Ginsburg, Geoffrey S.
AU - Hero, Alfred
AU - Lucas, Joseph
AU - Carin, Lawrence
N1 - Generated from Scopus record by KAUST IRTS on 2021-02-09
PY - 2011/3/1
Y1 - 2011/3/1
N2 - We develop a new Bayesian construction of the elastic net (ENet), with variational Bayesian analysis. This modeling framework is motivated by analysis of gene expression data for viruses, with a focus on H3N2 and H1N1 influenza, as well as Rhino virus and RSV (respiratory syncytial virus). Our objective is to understand the biological pathways responsible for the host response to such viruses, with the ultimate objective of developing a clinical test to distinguish subjects infected by such viruses from subjects with other symptom causes (e.g., bacteria). In addition to analyzing these new datasets, we provide a detailed analysis of the Bayesian ENet and compare it to related models. © 2006 IEEE.
AB - We develop a new Bayesian construction of the elastic net (ENet), with variational Bayesian analysis. This modeling framework is motivated by analysis of gene expression data for viruses, with a focus on H3N2 and H1N1 influenza, as well as Rhino virus and RSV (respiratory syncytial virus). Our objective is to understand the biological pathways responsible for the host response to such viruses, with the ultimate objective of developing a clinical test to distinguish subjects infected by such viruses from subjects with other symptom causes (e.g., bacteria). In addition to analyzing these new datasets, we provide a detailed analysis of the Bayesian ENet and compare it to related models. © 2006 IEEE.
UR - http://ieeexplore.ieee.org/document/5512621/
UR - http://www.scopus.com/inward/record.url?scp=79952129490&partnerID=8YFLogxK
U2 - 10.1109/TBME.2010.2059702
DO - 10.1109/TBME.2010.2059702
M3 - Article
SN - 0018-9294
VL - 58
SP - 468
EP - 479
JO - IEEE Transactions on Biomedical Engineering
JF - IEEE Transactions on Biomedical Engineering
IS - 3 PART 1
ER -