Doctoral Dissertations
Date of Award
8-2022
Degree Type
Dissertation
Degree Name
Doctor of Philosophy
Major
Life Sciences
Major Professor
Rachel Patton McCord
Committee Members
Rachel Patton McCord, Tongye Shen, Mariano Labrador, Tian Hong, Amir Sadovnik
Abstract
Over the past decade, single-cell technologies evolved from profiling hundreds of cells to millions of cells, and emerged from a single modality of data to cover multiple views at single-cell resolution, including genome, epigenome, transcriptome, and so on. With advance of these single-cell technologies, the booming of multimodal single-cell data creates a valuable resource for us to understand cellular heterogeneity and molecular mechanism at a comprehensive level. However, the large-scale multimodal single-cell data also presents a huge computational challenge for insightful integrative analysis. Here, I will lay out problems in data integration that single-cell research community is interested in and introduce computational principles for solving these integration problems. In the following chapters, I will present four computational methods for data integration under different scenarios. Finally, I will discuss some future directions and potential applications of single-cell data integration.
Recommended Citation
Xu, Yang, "What I talk about when I talk about integration of single-cell data. " PhD diss., University of Tennessee, 2022.
https://trace.tennessee.edu/utk_graddiss/7313
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