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Cell States and Cell Fate: Statistical and Computational Models in (Epi)Genomics
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
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 ...
Leveraging Functional Annotations and Multiethnic Data to Improve Polygenic Risk Prediction
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
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 ...
Technologies for Multiplexed High Throughput Screens
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 ...