DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Lee, Doheon | - |
dc.contributor.advisor | 이도헌 | - |
dc.contributor.author | Wang, Seunghyun | - |
dc.date.accessioned | 2021-05-12T19:33:42Z | - |
dc.date.available | 2021-05-12T19:33:42Z | - |
dc.date.issued | 2020 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=909921&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/283840 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 바이오및뇌공학과, 2020.2,[v, 50 p. :] | - |
dc.description.abstract | Luminal-A breast cancer is a subtype with the largest number of patients, about 40% of all breast cancer patients. The biggest characteristic of luminal-A breast cancer patients is a wide range of variation in prognosis for endocrine therapy. Therefore, this research divides the luminal-A breast cancer patients into the two distinct prognostic subgroups. The latent features generated through denoising autoencoders that extract and compress gene expression patterns of luminal-A breast cancer patients identify the two prognostic subgroups. The significance difference in overall survival between two subgroups are shown via log-rank test that is a hypothesis test to compare the survival distributions of two samples. In addition, through biological pathway analysis, it is found that the autophagy-lysosome pathways are more activated in the better prognostic subgroups. It is expected that this research can be used for personalized breast cancer treatment. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | breast cancer▼aautoencoders▼aprognosis▼asubgroups▼aautophagy | - |
dc.subject | 유방암▼a오토인코더▼a예후▼a하위그룹▼a자가포식 | - |
dc.title | Identifying prognostic subgroups of luminal-A breast cancer using denoising autoencoders | - |
dc.title.alternative | 디노이징 오토인코더를 이용한 luminal-A 아형 유방암의 예후적 하위 그룹 식별 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :바이오및뇌공학과, | - |
dc.contributor.alternativeauthor | 왕승현 | - |
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