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High-Dimensional Longitudinal Genomic Data: An analysis used for monitoring viral infections

Authors :
David B. Dunson
A. Tibau-Piug
Christopher W. Woods
Geoffrey S. Ginsburg
Aimee K. Zaas
Ricardo Henao
Lawrence Carin
J. Lucas
Minhua Chen
Alfred O. Hero
Source :
IEEE signal processing magazine. 29(1)
Publication Year :
2014

Abstract

In this article, we review recent progress in using high-dimensional longitudinal genomic data collected from virus challenge studies, per- formed with healthy human volun- teers. The focus of the article is on statistical signal processing, but we also show how the results may be used to yield biological insights.

Details

ISSN :
10535888
Volume :
29
Issue :
1
Database :
OpenAIRE
Journal :
IEEE signal processing magazine
Accession number :
edsair.doi.dedup.....15f2bff6e8421d3ef8d11c0ac1ca69fc