자료유형 | 학위논문 |
---|---|
서명/저자사항 | Applications of Network Propagation for the Discovery of Candidate Genes in Human Disease. |
개인저자 | Huang, Justin Kwang-Lay. |
단체저자명 | University of California, San Diego. Bioinformatics and Systems Biology. |
발행사항 | [S.l.]: University of California, San Diego., 2018. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
형태사항 | 138 p. |
기본자료 저록 | Dissertation Abstracts International 79-12B(E). Dissertation Abstract International |
ISBN | 9780438168213 |
학위논문주기 | Thesis (Ph.D.)--University of California, San Diego, 2018. |
일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Includes supplementary digital materials. Adviser: Trey Ideker. |
요약 | The molecular system of the cell can be represented as a network with genes or proteins represented as the nodes and the various types of interactions between these proteins represented as the edges. This dissertation explores both the benefits |
요약 | First, I present NSD1, a histone methyltransferase, that when mutated, confers improved survival for HPV-negative head and neck squamous cell cancer (HNSCC) patients. This project describes a standard approach for the discovery and validation of |
요약 | In contrast to the NSD1 results, many cancer cohorts cannot be subtyped easily by the mutation status of a single, or small number of genes due to the heterogeneity of tumor genomes. Therefore, I developed a software package implementing an algo |
요약 | In the final chapter of my thesis, I created a framework to evaluate molecular networks on their capacity to recover known disease-associated gene sets via network propagation. Given the number and diversity of molecular networks available, this |
일반주제명 | Bioinformatics. |
언어 | 영어 |
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