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Applications of Evolutionary Modeling to the Study of Drug Resistance in Cancer
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Applications of Evolutionary Modeling to the Study of Drug Resistance in Cancer. |
| 개인저자 | Lindsay, Danika Gray. |
| 단체저자명 | University of Minnesota. Mathematics. |
| 발행사항 | [S.l.]: University of Minnesota., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 140 p. |
| 기본자료 저록 | Dissertation Abstracts International 80-01B(E). Dissertation Abstract International |
| ISBN | 9780438353534 |
| 학위논문주기 | Thesis (Ph.D.)--University of Minnesota, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Adviser: Jasmine Foo. |
| 요약 | The evolution of resistance to therapy remains a significant challenge to the clinical treatment of cancer. As a tumor evolves, new genetic variants possessing a fitness advantage over normal cancer cells may be produced, thus leading to the dev |
| 요약 | In the first project, we develop a stochastic model of a non-small cell lung tumor undergoing treatment with a combination of two drugs. One drug is the current standard therapy used in the clinic to treat this disease, which has proven to be in |
| 요약 | The goal of the second project is to understand the impact of different resistance mechanisms on tumor recurrence. We define two separate branching process models to compare the case in which resistance arises via a single gene mutation with the |
| 일반주제명 | Applied mathematics. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
