자료유형 | 학위논문 |
---|---|
서명/저자사항 | Computational Tools for the Analysis of Neoepitopes and Aberrant Transcription in Cancer. |
개인저자 | Khan, Mohammed. |
단체저자명 | Yale University. |
발행사항 | [S.l.]: Yale University., 2018. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
형태사항 | 153 p. |
기본자료 저록 | Dissertation Abstracts International 79-11B(E). Dissertation Abstract International |
ISBN | 9780438193840 |
학위논문주기 | Thesis (Ph.D.)--Yale University, 2018. |
일반주기 |
Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
Adviser: Michael Krauthammer. |
요약 | Recent advances in cancer immunotherapy have led to the development of drugs that activate cancer cell targeting T-cells. These cells recognize cancer neoepitopes - small peptides derived from cancer-specific mutations - that are presented on th |
일반주제명 | Bioinformatics. Computer science. |
언어 | 영어 |
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