Likelihood Ratio-Permutation Test of Differentially Expressed Cancer-Related Genes
Abstract: The particularity of the differentially expressed cancer-related genes brings new challenges in the field of gene selection. Statisticians have succeeded in proposing new statistics and methods to solve the problem of selecting differentially expressed cancer gene. This article will advance a new method called “Likelihood Ratio-Permutation Test”, in order to select differentially expressed genes under the cancer model, after referencing some existing research.
文章引用: 李靖喆 , 张帼奋 (2011) 癌症差异表达基因的似然比–置换检验法。 计算生物学， 1， 22-26. doi: 10.12677/hjcb.2011.12004
 R. Graham. DNA chips: State-of-the art. Nature Biotechnology, 1998, 16: 40-44.
 J. D. Storey, R. Tibrashini. Statistical significance for geno- mewide studies. Proceedings of the National Academy of Scien- ces of the United States of America, 2003, 100(1): 9440-9445.
 S. A. Tomlins, et al. Recurrent fusion of TMPRSS2 and ETS tran- scription factor genes in prostate cancer. Science, 2005, 310(5748): 644-648.
 D. Ghosh, A. M. Chinnaiyan. Genomic outlier profile analysis: mixture models, null hypotheses, and nonparametric estimation. Biostatistics, 2009, 10: 60-69.
 R. Tibshirani, T. Hastie. Outlier sums for differential gene ex- pression analysis. Biostatistics, 2007, 8: 2-8.
 H. Lian. MOST: Detecting cancer differential gene expression. Biostatistics, 2008, 9: 411-418.
 茆诗松, 王静龙, 濮晓龙. 高等数理统计(第二版)[M]. 北京: 高等教育出版社, 2006.
 M. West, et al. Predicting the clinical status of human breast cancer by using gene expression profiles. Proceedings of the National Academy of Sciences of the United States of America, 2001, 98: 11462-11467.
 P. Benedit, et al. PTOV1, a novel protein overexpressed in pro- state cancer containing a new class of protein homology blocks. Nature Publishing Group, 2001, 20: 1455-1464.
 Y. Oka, et al. M6P/IGF2R tumor suppressor gene mutated in hepatocellular carcinomas in Japan. Hepatology, 2002, 35(5): 1153- 1163.