Identification of Cancer Genes － A Comparison of t-test and SAM
碩士 === 亞洲大學 === 生物資訊學系碩士班 === 98 === This research aims at comparing the performance of two approaches in predicting cancer genes, i.e oncogenes (OCG), tumor suppressor genes (TSG) and cancer-related genes (others), for three different types of cancers, namely, liver cancer, esophaguae cancer and br...
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2010
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| Online Access: | http://ndltd.ncl.edu.tw/handle/46330125851926716720 |
| Summary: | 碩士 === 亞洲大學 === 生物資訊學系碩士班 === 98 === This research aims at comparing the performance of two approaches
in predicting cancer genes, i.e oncogenes (OCG), tumor suppressor genes
(TSG) and cancer-related genes (others), for three different types of
cancers, namely, liver cancer, esophaguae cancer and breast cancer. Gene
expression data are downloaded from EBI ArrayExpress.
The student t-test approach and the Significance Analysis of
Microarrays (SAM) are employed to identify cancer genes. It is found
that t-test performs better for esophagaue caner and breast cancer, while
SAM performs better for liver cancer.
The web site of studying results is available at
http://ppi.bioinfo.asia.edu.tw/P_Cancer_T_SAM/
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