【摘要】 基因预测是生物信息学领域中的一个重要研究方向。本文在研究了基因局部特征的基础上,针对现有遗传算法在预测基因5’exons方面的不足,从生物免疫机制出发,构建了一种用于基因5’exons预测的免疫遗传算法。该算法利用T细胞发育过程中强大的多样性维持机制来设计算法的选择机制,提高算法的求解性能。实验结果表明该算法提高了基因预测的精度,提供了一种可能的研究基因预测方案。更多还原

【Abstract】 Gene prediction is an important research branch in the field of bioinformatics. This paper, based on the research of the partial characteristics of genes, constructs an immune genetic algorithm for predicting the 5’ exons of genes from the angle of biological immune mechanism, aiming at some deficiency in the current genetic algorithm in predicting 5’exons. The algorithm makes use of the powerful maintaining variety mechanism in the developing process of T cells to design the selection mechanism of the algorithm in order to improve the capability of the algorithm. It turns out that this algorithm can improve the precision of the gene-prediction, and puts forward a possible way for the future research in gene prediction.更多还原