Proceedings of the Korean Society for Bioinformatics Conference (한국생물정보학회:학술대회논문집)
- 2004.11a
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- Pages.272-278
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- 2004
Ranking Candidate Genes for the Biomarker Development in a Cancer Diagnostics
- Kim, In-Young (Cancer Metastasis Research Center, College of Medicine, Yonsei University) ;
- Lee, Sun-Ho (Department of Applied Mathematics, Sejong University) ;
- Rha, Sun-Young (Cancer Metastasis Research Center, College of Medicine, Yonsei University) ;
- Kim, Byung-Soo (Department of Applied Statistics, Yonsei University)
- Published : 2004.11.04
Abstract
Recently, Pepe et al. (2003) employed the receiver operating characteristic (ROC) approach to rank candidate genes from a microarray experiment that can be used for the biomarker development with the ultimate purpose of the population screening of a cancer, In the cancer microarray experiment based on n patients the researcher often wants to compare the tumor tissue with the normal tissue within the same individual using a common reference RNA. This design is referred to as a reference design or an indirect design. Ideally, this experiment produces n pairs of microarray data, where each pair consists of two sets of microarray data resulting from reference versus normal tissue and reference versus tumor tissue hybridizations. However, for certain individuals either normal tissue or tumor tissue is not large enough for the experimenter to extract enough RNA for conducting the microarray experiment, hence there are missing values either in the normal or tumor tissue data. Practically, we have
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