TY - GEN
T1 - Integrative sparse bayesian analysis of high-dimensional multi-platform genomic data in glioblastoma
AU - Bhadra, Anindya
AU - Baladandayuthapani, Veerabhadran
N1 - Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - While individual studies have demonstrated that mRNA expressions are affected by both copy number aberrations and microRNAs, their integrative analysis has largely been ignored. In this article, we use high-dimensional regression techniques to perform the integrative analysis of such data in the context of Glioblastoma Multiforme (GBM). It is revealed that copy numbers are more potent regulators of mRNA levels than microRNAs. We also infer the mRNA expression network after adjusting the effect of microRNAs and copy numbers. Our association analysis demonstrates the expression levels of the genes IRS1 and GRB2 are strongly associated with the underlying variations in copy numbers on chromosomal locations 17q25.1 and 3p25.2, but we fail to detect significant associations with microRNA levels.
AB - While individual studies have demonstrated that mRNA expressions are affected by both copy number aberrations and microRNAs, their integrative analysis has largely been ignored. In this article, we use high-dimensional regression techniques to perform the integrative analysis of such data in the context of Glioblastoma Multiforme (GBM). It is revealed that copy numbers are more potent regulators of mRNA levels than microRNAs. We also infer the mRNA expression network after adjusting the effect of microRNAs and copy numbers. Our association analysis demonstrates the expression levels of the genes IRS1 and GRB2 are strongly associated with the underlying variations in copy numbers on chromosomal locations 17q25.1 and 3p25.2, but we fail to detect significant associations with microRNA levels.
KW - Bayesian modeling
KW - glioblastoma
KW - graphical models
KW - high-dimensional data analysis
KW - integrative analysis
UR - http://www.scopus.com/inward/record.url?scp=84897724970&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84897724970&partnerID=8YFLogxK
U2 - 10.1109/GENSIPS.2013.6735913
DO - 10.1109/GENSIPS.2013.6735913
M3 - Conference contribution
C2 - 37016713
AN - SCOPUS:84897724970
SN - 9781479934621
T3 - Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics
SP - 1
EP - 4
BT - 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2013 - Proceedings
T2 - 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2013
Y2 - 17 November 2013 through 19 November 2013
ER -