A New Method to Identify Housekeeping Genes and Tissue Special Genes

摘要

Despite the detection methods of HK genes and TS genes were various, without the standard database, we could not judge which one was the best classifier. In this paper, we built a standard database of HK genes and TS genes, reviewed and evaluated the existed methods. By analyzing the features of HK genes and TS genes, we summarized 7 features: relative expression breadth (REB), signal to noise (S/N), tissue special index (TSI), Average, standard deviation (SD), Max/Average, dispersion measure (DPM). Based on the features, we used a new SVM (support vector machine) model to have identified more than 10000 HK genes and 6947 TS genes. It is the best classifier about HK genes and TS genes identification now.