지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2015.1
- 수록면
- 86 - 89 (4page)
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초록· 키워드
오류제보하기
Because there are clear molecular differences entailing different treatment effectiveness between Korean and non-Korean cancer patients, identifying distinct molecular characteristics of Korean cancers is profoundly important. Here, we report a web-based data repository, namely Korean Cancer Genome Database (KCGD), for searching gene signatures associated with Korean cancer patients. Currently, a total of 1,403 cancer genomics data were collected, processed and stored in our repository, an ever-growing database. We incorporated most widely used statistical survival analysis methods including the Cox proportional hazard model, log-rank test and Kaplan-Meier plot to provide instant significance estimation for searched molecules. As an initial repository with the aim of Korean-specific marker detection, KCGD would be a promising web application for users without bioinformatics expertise to identify significant factors associated with cancer in Korean.
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등록된 정보가 없습니다.
참고문헌 (11)
참고문헌 신청
Mutation Consequences and Pathway Analysis working group of the International Cancer Genome Consortium / 2015 / Pathway and network analysis of cancer genomes / Nat Methods 12:615~621
Cancer Genome Atlas Research Network. / 2013 / The Cancer Genome Atlas Pan-Cancer analysis project / Nat Genet 45:1113~1120
Lee SY. / Validation of prediction models for mismatch repair gene mutations in Koreans
Mok Y. / Gamma-glutamyltransferase and cancer risk:the Korean cancer prevention study
Gao J. / 2013 / Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal / Sci Signal 6
Cancer Genome Atlas Research Network. / 2013 / The Cancer Genome Atlas Pan-Cancer analysis project / Nat Genet 45:1113~1120
Lee SY. / Validation of prediction models for mismatch repair gene mutations in Koreans
Mok Y. / Gamma-glutamyltransferase and cancer risk:the Korean cancer prevention study
Gao J. / 2013 / Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal / Sci Signal 6
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