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Predicting Quantitative Outcomes of Patients Using Longitudinal Gene Expression

Authors:

Yuping Zhang ,

Department of Statistics, University of Connecticut, Institute for Systems Genomics, University of Connecticut, Center for Health, Intervention, and Prevention, University of Connecticut, US
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Zhengqing Ouyang

The Jackson Laboratory for Genomic Medicine, Farmington, Department of Biomedical Engineering, University of Connecticut, Department of Genetics and Developmental Biology, University of Connecticut Health Center,, US
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Abstract

We present a new statistical method using longitudinal gene expression to predict quantitative outcomes of patients. Through simulations and application on a dataset of burn patients, the proposed method outperforms prediction methods using gene expression from individual time points or simply combining them together.

DOI: http://dx.doi.org/10.4038/sljastats.v5i4.7787

DOI: http://doi.org/10.4038/sljastats.v5i4.7787
How to Cite: Zhang, Y. & Ouyang, Z., (2014). Predicting Quantitative Outcomes of Patients Using Longitudinal Gene Expression. Sri Lankan Journal of Applied Statistics. 5(4), pp.117–126. DOI: http://doi.org/10.4038/sljastats.v5i4.7787
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Published on 14 Dec 2014.
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