TY - GEN
T1 - Hierarchical Bayesian methods for integration of various types of genomics data
AU - Jennings, Elizabeth M.
AU - Morris, Jeffrey S.
AU - Carroll, Raymond J.
AU - Manyam, Ganiraju C.
AU - Baladandayuthapani, Veerabhadran
N1 - Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.
PY - 2012
Y1 - 2012
N2 - We propose methods to integrate data across several genomic platforms using a hierarchical Bayesian analysis framework that incorporates the biological relationships among the platforms to identify genes whose expression is related to clinical outcomes in cancer. This integrated approach combines information across all platforms, leading to increased statistical power in finding these predictive genes, and further provides mechanistic information about the manner of the effect on the outcome. We demonstrate the advantages of this approach (including improved estimation via effective estimate shrinkage) through a simulation, and finally we apply our method to a Glioblastoma Multiforme dataset and identify several genes significantly associated with patients' survival.
AB - We propose methods to integrate data across several genomic platforms using a hierarchical Bayesian analysis framework that incorporates the biological relationships among the platforms to identify genes whose expression is related to clinical outcomes in cancer. This integrated approach combines information across all platforms, leading to increased statistical power in finding these predictive genes, and further provides mechanistic information about the manner of the effect on the outcome. We demonstrate the advantages of this approach (including improved estimation via effective estimate shrinkage) through a simulation, and finally we apply our method to a Glioblastoma Multiforme dataset and identify several genes significantly associated with patients' survival.
KW - Bayesian modeling
KW - genomics
KW - integrative analysis
KW - shrinkage priors
UR - http://www.scopus.com/inward/record.url?scp=84877828069&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84877828069&partnerID=8YFLogxK
U2 - 10.1109/GENSIPS.2012.6507713
DO - 10.1109/GENSIPS.2012.6507713
M3 - Conference contribution
AN - SCOPUS:84877828069
SN - 9781467352369
T3 - Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics
SP - 5
EP - 8
BT - Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2012
T2 - 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2012
Y2 - 2 December 2012 through 4 December 2012
ER -