Identification of Cancer Genes － A Comparison of t-test and SAM

ASIAIR > College of Computer Science > Department of Biomedical informatics > Theses & dissertations > Item 310904400/10922

Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/10922

Title:	Identification of Cancer Genes － A Comparison of t-test and SAM
Authors:	Che-Hau Chang
Contributors:	Department of Bioinformatics
Keywords:	Significance Analysis of Microarrays, t-test;tumor suppressor genes, oncogenes;liver cancer, esophaguae cancer, breast cancer
Date:	2010
Issue Date:	2010-11-08 02:33:16 (UTC+0)
Publisher:	Asia University
Abstract:	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/
Appears in Collections:	[Department of Biomedical informatics ] Theses & dissertations

Files in This Item:

File	Size	Format
	0Kb	Unknown	412	View/Open