M
Mei-Ling Ting Lee
Researcher at University of Maryland, College Park
Publications - 121
Citations - 7437
Mei-Ling Ting Lee is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Wilcoxon signed-rank test & Population. The author has an hindex of 33, co-authored 113 publications receiving 6908 citations. Previous affiliations of Mei-Ling Ting Lee include Academia Sinica & Boston University.
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Journal ArticleDOI
Detection of microRNA Expression in Human Peripheral Blood Microvesicles
Melissa Piper Hunter,Noura Ismail,Noura Ismail,Xiaoli Zhang,Baltazar D. Aguda,Eun Joo Lee,Lianbo Yu,Tao Xiao,Jeffrey Schafer,Mei-Ling Ting Lee,Thomas D. Schmittgen,S. Patrick Nana-Sinkam,David Jarjoura,Clay B. Marsh,Clay B. Marsh +14 more
TL;DR: This study is the first to identify and define miRNA expression in circulating plasma microvesicles of normal subjects, and provides a basis for future studies to determine the predictive role of peripheral blood miRNA signatures in human disease.
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Importance of replication in microarray gene expression studies: Statistical methods and evidence from repetitive cDNA hybridizations
TL;DR: In this article, a controlled experiment was conducted to investigate inherent variability in gene expression data and the extent to which replication in an experiment produces more consistent and reliable findings by introducing a statistical model to describe the probability that mRNA is contained in the target sample tissue, converted to probe, and ultimately detected on the slide.
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Validation of Patient Reports, Automated Pharmacy Records, and Pill Counts With Electronic Monitoring of Adherence to Antihypertensive Therapy
Peter W. Choo,Cynthia S. Rand,Thomas S. Inui,Mei-Ling Ting Lee,Emily Cain,Michelle Cordeiro-Breault,Claire Canning,Richard Platt +7 more
TL;DR: Deviation from recommended timing of doses appears to be greater than from prescribed number of doses, and pharmacy dispensing records demonstrate predictive validity as measures of cumulative exposure and gaps in medication supply.
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Polymorphisms in human dopamine D2 receptor gene affect gene expression, splicing, and neuronal activity during working memory
Ying Zhang,Alessandro Bertolino,Leonardo Fazio,Giuseppe Blasi,Antonio Rampino,Raffaella Romano,Mei-Ling Ting Lee,Tao Xiao,Audrey C. Papp,Danxin Wang,Wolfgang Sadee +10 more
TL;DR: The results identify regulatory DRD2 polymorphisms that modify mRNA expression and splicing and working memory pathways that are associated with greater activity of striatum and prefrontal cortex measured with fMRI and with reduced performance in working memory and attentional control tasks in healthy humans.
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The Wilcoxon signed rank test for paired comparisons of clustered data.
TL;DR: The Wilcoxon signed rank test is a frequently used nonparametric test for paired data based on independent units of analysis that is able to incorporate clustering and is shown to be asymptotically normal as the number of clusters becomes large, if the cluster size is bounded.