A Gene-Prediction Algorithm Based on the Statistical Combination and the Classification in Terms of Gene Characteristics

Gene-prediction is the foundation of researches on the gene function, the gene expression, the co-relationship among genes, and the way of controlling the gene transcription. At present, gene-prediction methods have achieved superior precision on predicting internal coding exons, however, they are inefficient on predicting 5´-exons. Focusing on predicting 5´-exons, a gene-prediction algorithm based on the statistical combination and the classification in terms of gene characteristics is shown in this paper, in which the data in the gene areas are divided into two relatively independent groups in terms of a certain gene characteristic, and then a statistical combination of various methods of gene-prediction is applied to the research. In the experiment, the precision of the gene-prediction is improved by using this algorithm and a possible way for the future research is also provided