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ETD Abstract Container

Abstract Header

Integrative approaches to single cell RNA sequencing analysis

Johnson, Travis Steele
http://orcid.org/0000-0002-4628-2256
http://rave.ohiolink.edu/etdc/view?acc_num=osu1586960661272666

Abstract Details

2020, Doctor of Philosophy, Ohio State University, Biomedical Sciences.
There are trillions of cells, which make up hundreds of different cell types, found in the human body. These cells make up not only tissues but dictate the functions of those tissues. In diseased tissues, cell types can have a profound impact on the outcome of a patient. For these reasons, having a comprehensive understanding of cell types is important. In the past 10 years, single cell RNA sequencing has profoundly impacted our understanding of known and previously unknown cell types. Along with the numerous single cell datasets, a multitude of bulk expression datasets, multi-omic datasets, and curated information also exist. All of these data sources must be leveraged together to most improve our understanding of human tissues and diseases at the single cell level. We developed methodologies, frameworks, and algorithms that leverage multiple diverse datasets simultaneously to better understand single cell RNA sequencing data and as a result tissue heterogeneity as a whole.
Yan Zhang (Advisor)
Kun Huang (Advisor)
Jeffrey Parvin (Committee Member)
Christopher Bartlett (Committee Member)
211 p.
Bioinformatics; Biomedical Research
RNA sequencing, RNA-seq, scRNA-seq, machine learning, transfer learning, domain adaptation, multitask learning, brain, neuron, glioblastoma, integrative analyses, bioinformatics, computational biology

Recommended Citations

Citations

  • Johnson, T. S. (2020). Integrative approaches to single cell RNA sequencing analysis [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1586960661272666

    APA Style (7th edition)

  • Johnson, Travis. Integrative approaches to single cell RNA sequencing analysis. 2020. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1586960661272666.

    MLA Style (8th edition)

  • Johnson, Travis. "Integrative approaches to single cell RNA sequencing analysis." Doctoral dissertation, Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1586960661272666

    Chicago Manual of Style (17th edition)

osu1586960661272666
109
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This open access ETD is published by The Ohio State University and OhioLINK.