Wonyul Lee
Overview
Explore the profile of Wonyul Lee including associated specialties, affiliations and a list of published articles.
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Articles
7
Citations
79
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0
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Recent Articles
1.
Morris J, Luthra R, Liu Y, Duose D, Lee W, Reddy N, et al.
Clin Cancer Res
. 2020 Oct;
27(1):120-130.
PMID: 33109741
Purpose: Consensus molecular subtyping (CMS) of colorectal cancer has potential to reshape the colorectal cancer landscape. We developed and validated an assay that is applicable on formalin-fixed, paraffin-embedded (FFPE) samples...
2.
Fazio M, Girard M, Lee W, Morris J, Burgoyne C, Crawford Downs J
Invest Ophthalmol Vis Sci
. 2019 Oct;
60(13):4141-4150.
PMID: 31598625
Purpose: To determine the relationship between peripapillary scleral strain change and cumulative differential IOP exposure in nonhuman primates (NHPs) with unilateral chronic ocular hypertension. Methods: Posterior scleral shells from 6...
3.
Lee W, Miranda M, Rausch P, Baladandayuthapani V, Fazio M, Crawford Downs J, et al.
J Am Stat Assoc
. 2019 Jun;
114(526):495-513.
PMID: 31235987
Glaucoma, a leading cause of blindness, is characterized by optic nerve damage related to intraocular pressure (IOP), but its full etiology is unknown. Researchers at UAB have devised a custom...
4.
Lee W, Liu Y
J Mach Learn Res
. 2015 Nov;
16:1035-1062.
PMID: 26568704
Estimation of inverse covariance matrices, known as precision matrices, is important in various areas of statistical analysis. In this article, we consider estimation of multiple precision matrices sharing some common...
5.
Lee W, Morris J
Bioinformatics
. 2015 Nov;
32(5):664-72.
PMID: 26559505
Motivation: DNA methylation is a key epigenetic modification that can modulate gene expression. Over the past decade, a lot of studies have focused on profiling DNA methylation and investigating its...
6.
Lee W, Du Y, Sun W, Hayes D, Liu Y
Stat Anal Data Min
. 2014 Jan;
5(6).
PMID: 24416092
Multiple response regression is a useful regression technique to model multiple response variables using the same set of predictor variables. Most existing methods for multiple response regression are designed for...
7.
Lee W, Liu Y
J Multivar Anal
. 2012 Jul;
111:241-255.
PMID: 22791925
Multivariate regression is a common statistical tool for practical problems. Many multivariate regression techniques are designed for univariate response cases. For problems with multiple response variables available, one common approach...