Algorithms for analyzing single-cell data in cancer
Abstract/Contents
- Abstract
- This dissertation addresses the need for advanced algorithmic tools for analyzing single-cell data in cancer biology. In the following chapters, I present a body of work describing the de- velopment and application of several innovative machine learning algorithms to the problem of identifying disease- and clinical outcome-associated cell populations in single-cell datasets. While these algorithms use a variety of distinct computational tools to accomplish this goal, each of them is specifically designed for the extraction of clinically useful information from this complex data type. In doing so, they leverage cross-disciplinary insights from biology, medicine, statistics, and computer science in order to analyze and integrate information from the single-cell, cell subpopulation, and whole-patient levels.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2024; ©2024 |
| Publication date | 2024; 2024 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Keyes, Timothy James |
|---|---|
| Degree supervisor | Nolan, Garry P |
| Thesis advisor | Nolan, Garry P |
| Thesis advisor | Chen, Jonathan H |
| Thesis advisor | Mackall, Crystal |
| Thesis advisor | Plevritis, Sylvia |
| Degree committee member | Chen, Jonathan H |
| Degree committee member | Mackall, Crystal |
| Degree committee member | Plevritis, Sylvia |
| Associated with | Stanford University, School of Medicine |
| Associated with | Stanford University, Cancer Biology Program |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Timothy Keyes. |
|---|---|
| Note | Submitted to the Cancer Biology Program. |
| Thesis | Thesis Ph.D. Stanford University 2024. |
| Location | https://purl.stanford.edu/ms305zx2094 |
Access conditions
- Copyright
- © 2024 by Timothy James Keyes
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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