CAJ | 학술논문

为克服单基因扰动实验必须遍历所有实验基因所导致的周期长和成本高的缺点,提出了一个自适应参数的灰关联聚类算法,每次基因扰动实验后通过自适应参数灰关联聚类算法选择下一个实验基因,从而省略不必要的基因扰动实验,得到满意的基因扰动顺序并建立基因调控网络.实验结果表明,该算法能有效地甄别对构建基因调控网络基本没有影响的基因,算法结果令人满意.
위극복단기인우동실험필수편력소유실험기인소도치적주기장화성본고적결점,제출료일개자괄응삼수적회관련취류산법,매차기인우동실험후통과자괄응삼수회관련취류산법선택하일개실험기인,종이성략불필요적기인우동실험,득도만의적기인우동순서병건립기인조공망락.실험결과표명,해산법능유효지견별대구건기인조공망락기본몰유영향적기인,산법결과령인만의.
The disadvantages of single-gene disturbance experiment which is caused by traversing all genes of the experiment are the longer cycle and the higher cost. An auto-selected parameter grey relation cluster analysis method is developed. By applying it to the gene experiment data, the method can effectively identify those genes which have little influence to construct a satisfactory gene regulation network, the result of the calculation experiment is satisfied.