关键词: 基因表达谱, 噪声, 小波变换

Abstract: For large number of gene expression profiles of the colon tumor, the usage of the disposal of noises is researched on when the informative genes are selected in this paper. The ReCorre algorithm is applied in despite of noises, and many informative genes are picked out with the plus l minus r searching algorithm, which are checked out by the Leave-One-Out Cross Validation（LOOCV） method based on the Sport Vector Machine（SVM） later in order to get the best informative genes. The influence of the noises in the gene expression profiles is analyzed. The numerical noises are strained by the wavelet threshold de-noising while the redundant genes are dealt by the alternately selecting algorithm, so that the new informative genes can be selected. In the end, 2000 colon tumor gene expression samples are analyzed and the disposal of noises in the tumor gene expression profiles turn out to be feasible and effective.

Key words: gene expression profiles, noise, wavelet transform