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

Lawrence Carin; Alfred Hero; Joseph Lucas; David Dunson; Minhua Chen; Ricardo Heñao; Arnau 2-Puig; Aimee Zaas; Christopher W. Woods; Geoffrey S. Ginsburg

doi:10.1109/MSP.2011.943009

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

Lawrence Carin, Alfred Hero, Joseph Lucas, David Dunson, Minhua Chen, Ricardo Heñao, Arnau 2-Puig, Aimee Zaas, Christopher W. Woods, Geoffrey S. Ginsburg

Computer, Electrical and Mathematical Sciences and Engineering

Research output: Contribution to journal › Article › peer-review

13 Scopus citations

Original language	English (US)
Pages (from-to)	108-123
Number of pages	16
Journal	IEEE Signal Processing Magazine
Volume	29
Issue number	1
DOIs	https://doi.org/10.1109/MSP.2011.943009
State	Published - Jan 1 2012

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10.1109/MSP.2011.943009

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title = "High-Dimensional Longitudinal Genomic Data: An analysis used for monitoring viral infections",

author = "Lawrence Carin and Alfred Hero and Joseph Lucas and David Dunson and Minhua Chen and Ricardo He{\~n}ao and Arnau 2-Puig and Aimee Zaas and Woods, {Christopher W.} and Ginsburg, {Geoffrey S.}",

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AU - Carin, Lawrence

AU - Hero, Alfred

AU - Lucas, Joseph

AU - Dunson, David

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AU - Heñao, Ricardo

AU - 2-Puig, Arnau

AU - Zaas, Aimee

AU - Woods, Christopher W.

AU - Ginsburg, Geoffrey S.

N1 - Generated from Scopus record by KAUST IRTS on 2021-02-09

PY - 2012/1/1

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VL - 29

SP - 108

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JO - IEEE Signal Processing Magazine

JF - IEEE Signal Processing Magazine

IS - 1

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

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