為了克服每次運(yùn)行獨(dú)立成分分析算法（Independent Component Analysis，ICA）所得到不同的ICs對(duì)最后所選擇的AD基因造成的不良影響，提出了一種應(yīng)用ICA選擇基因的改進(jìn)方法。首先運(yùn)行多次ICA算法，然后通過比較相關(guān)系數(shù)選出與AD相關(guān)的ICs，最后依據(jù)基因出現(xiàn)的頻數(shù)選擇相關(guān)基因。通過該方法尋找到39個(gè)在每個(gè)與AD相關(guān)的ICs中都過表達(dá)的基因，且其中有一個(gè)基因位于X染色體上，通過理論分析和實(shí)驗(yàn)結(jié)果表明該算法的確是一種可行性的方法。

Abstract:

?To overcome the adverse impact of getting different ICs from each running of ICA algorithm to the final choice of AD genes， the paper proposed a modified method of choosing genes by ICA. After several running of the ICA algorithm，according to the comparison of correlation coefficients the genes related with AD were selected based on frequency of the genes appearing. Using this method， 39 over-expression genes in each ICs related with AD were found， and one of them was located on chromosome X. Theoretical analysis and experimental results show that the algorithm is a feasible method.