Now showing items 1-6 of 6
Statistical Methods for Analyzing DNA Methylation Data and Subpopulation Analysis of Continuous, Binary and Count Data for Clinical Trials
DNA methylation may represent an important contributor to the missing heritability described in complex trait genetics. However, technology to measure DNA methylation has outpaced statistical methods for analysis. Novel ...
Discovery and Functional Interpretation of Genetic Risk in Autoimmune Diseases
Autoimmune diseases are chronic and debilitating conditions arising from abnormal immune responses directed against normal body tissues; they collectively affect the lives of 5-10% of the world population. These diseases ...
Control of HIV-1C Replication Both in Vivo and in Vitro
In this study, we established an HIV latency model using pluripotent stem cells in vitro. We found that a HIV accessory protein nef is responsible for full-length HIV silencing in human pluripotent stem cells. This effect ...
Evolutionary Dynamics of a Multiple-Ploidy System in Arabidopsis Arenosa
Whole-genome duplication (WGD), which leads to polyploidy, has been implicated in speciation and biological novelty. In plants, many species have experienced historical bouts of WGD or exhibit extant ploidy variation, which ...
Predicting the Effects of Missense Variation on Protein Structure, Function, and Evolution
Estimating the effects of missense mutations is a problem with many important applications in a variety of fields, including medical genetics, evolutionary theory, population genetics, and protein structure and design. ...
Computational and Statistical Methods for Characterizing Single-Cell Heterogeneity
The emergence of single-cell technologies has highlighted the potential to discover novel cellular subpopulations and states within heterogeneous populations. Such technologies are achieving increasingly higher-throughput, ...