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Cell States and Cell Fate: Statistical and Computational Models in (Epi)Genomics
(2015-01-14)
This dissertation develops and applies several statistical and computational methods to the analysis of Next Generation Sequencing (NGS) data in order to gain a better understanding of our biology. In the rest of the chapter ...
Statistical methods for analyzing genetic sequencing association studies
(2016-05-16)
Case-control genetic sequencing studies are increasingly being conducted to identify rare variants associated with complex diseases. Oftentimes, these studies collect a variety of secondary traits--quantitative and qualitative ...
Technologies for Multiplexed High Throughput Screens
(2017-10-13)
Biological processes are often far too complex to predict. For those phenomenon that still evade understanding, it is helpful to visualize a black box—a system with clear inputs and outputs, but an unknowable, labyrinthine ...
Leveraging Functional Annotations and Multiethnic Data to Improve Polygenic Risk Prediction
(2018-09-25)
Polygenic risk prediction is a widely-investigated topic because of its potential clinical application as well as its utility to have a better understanding of the genetic architecture of complex traits. Methods to perform ...
Detecting Meaningful Relationships in Large Data Sets
(2018-05-01)
As data sets grow and algorithms scale, two questions have become central to data-rich science. The first is the exploration question: how can we avoid only testing hypotheses consistent with current models and instead ...