关键词: DNA序列分析, 启动子预测, 词模式, 特征boosting

Abstract: A new method is presented for promoter prediction based on the following hypothesis：Promoter is determined by some word patterns and different promoters are determined by different words.Most potential features are selected by divergence distance to build a sequence of weak classifier by feature-boosting.A number of weak classifiers construct a strong classifier，which can achieve a better performance.Different from other classifier，a different training and classifying strategy is adopted.Experimental results on large genomic sequences and comparisons with several excellent algorithms show that the algorithm is efficient with higher sensitivity and specificity in predicting promoter regions.

Key words: DNA sequence analysis, promoter prediction, word patterns, feature-boosting