Cancer biomarker discovery via meta-analyses of gene expression information digitized by high-throughput technologies
博士 === 國立陽明大學 === 生物醫學資訊研究所 === 100 === This study comprehensively analyzed the data from NCBI dbEST (EST database) and the NCI TCGA (The Cancer Genome Atlas) RNA-Seq to identify cancer biomarker candidates using statistical methods previously unused for this purpose. Existing digital expression stu...
| Main Authors: | , |
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| Format: | Others |
| Language: | en_US |
| Published: |
2012
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| Online Access: | http://ndltd.ncl.edu.tw/handle/51532568427922286211 |