借助赋予四种碱基A,G,C,T四个三维空间中的点(0,0,1),(0,1,0),(-1,-1,0),(1,0,0),将一条DNA序列转化为一个二十四维向量.在此基础上利用Fisher线性判别法对人类基因组中189条基因片段进行PCR扩增难易预测,识别率达到了90％.%By means of assigning (0,0,1) , (0,1,0) , ( - 1, - 1,0) , ( 1,0,0) to the four bases A, G, C and T, a DNA sequence is transformed into a 24-dimensional vector. Based on this and the Fisher linear discriminant algorithm, we proposed a computational method to predict success for PCR. Our report is based on 189 amplicons randomly selected from human exons, and our method achieves an accuracy of 90%.
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