DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Choi, Jung Kyoon | - |
dc.contributor.advisor | 최정균 | - |
dc.contributor.author | Park, Hyunwook | - |
dc.date.accessioned | 2023-06-23T19:30:55Z | - |
dc.date.available | 2023-06-23T19:30:55Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=1032733&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/308747 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 바이오및뇌공학과, 2023.2,[iv, 57 p. :] | - |
dc.description.abstract | Liquid biopsy is a noninvasive method for cancer diagnosis with great academic and practical potential. The immune repertoire and cell-free DNA (cfDNA) in blood is known to reflect the cancer patients’ disease status. In this thesis, two machine learning models were developed from immune repertoire pattern and cfDNA mutation pattern, respectively. Utilizing novel methods such as inclusion of B cell receptor in immune repertoire model and whole genome sequencing (WGS) variation acquisition, both models were able to obtain superior cancer prediction performance. This work paved the way for accurate liquid biopsy cancer detection in pan-cancer manner, even in early cancer. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | Pan-cancer▼aCell-free DNA▼aImmune repertoire▼aMachine learning▼aEarly cancer detection | - |
dc.subject | 광범위 암▼a세포유리 디옥시리보핵산▼a면역 레퍼토리▼a기계학습▼a조기 암 진단 | - |
dc.title | Cancer prediction with liquid biopsy using cell-free DNA and immune repertoire | - |
dc.title.alternative | 세포유리 디옥시리보핵산과 면역 레퍼토리를 사용한 액체생검 기반 암 진단 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :바이오및뇌공학과, | - |
dc.contributor.alternativeauthor | 박현욱 | - |
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