Title :
High-Dimensional Longitudinal Genomic Data: An analysis used for monitoring viral infections
Author :
Carin, Lawrence ; Hero, Alfred, III ; Lucas, Joseph ; Dunson, David ; Chen, Minhua ; Heñao, Ricardo ; Tibau-Piug, A. ; Zaas, Aimee ; Woods, Christopher W. ; Ginsburg, Geoffrey S.
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.
Keywords :
genomics; medical signal processing; microorganisms; statistical analysis; biological insights; high dimensional longitudinal genomic data; statistical signal processing; viral infections monitoring; virus; Biological system modeling; Data models; Genomics; Medical services; Viruses (medical);
Journal_Title :
Signal Processing Magazine, IEEE
DOI :
10.1109/MSP.2011.943009
