TY - GEN
T1 - Latent feature decompositions for integrative analysis of diverse high-throughput genomic data
AU - Gregory, Karl B.
AU - Coombes, Kevin R.
AU - Momin, Amin
AU - Girard, Luc
AU - Byers, Lauren A.
AU - Lin, Steven
AU - Peyton, Michael
AU - Heymach, John V.
AU - Minna, John D.
AU - Baladandayuthapani, Veerabhadran
PY - 2012/12/1
Y1 - 2012/12/1
N2 - A general method for regressing a continuous response upon large groups of diverse genetic covariates via dimension reduction is developed and exemplified. It is shown that allowing latent features derived from different covariate groups to interact aids in prediction when interactions subsist among the original covariates. A means of selecting a subset of relevant covariates from the original set is proposed, and a simulation study is performed to demonstrate the effectiveness of the procedure for prediction and variable selection. The procedure is applied to a high-dimensional lung cancer data set to model the effects of gene expression, copy number variation, and methylation on a drug response.
AB - A general method for regressing a continuous response upon large groups of diverse genetic covariates via dimension reduction is developed and exemplified. It is shown that allowing latent features derived from different covariate groups to interact aids in prediction when interactions subsist among the original covariates. A means of selecting a subset of relevant covariates from the original set is proposed, and a simulation study is performed to demonstrate the effectiveness of the procedure for prediction and variable selection. The procedure is applied to a high-dimensional lung cancer data set to model the effects of gene expression, copy number variation, and methylation on a drug response.
UR - http://www.scopus.com/inward/record.url?scp=84877813652&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84877813652&partnerID=8YFLogxK
U2 - 10.1109/GENSIPS.2012.6507746
DO - 10.1109/GENSIPS.2012.6507746
M3 - Conference contribution
AN - SCOPUS:84877813652
SN - 9781467352369
T3 - Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics
SP - 130
EP - 134
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 -