在启动子识别中需要。
所以在此基础上，利用进化神经网络，采取BP算法和遗传算法建立了真核生物基因启动子识别模型。
On the basis of evolutionary neural network, the recognition model of promoter in eukaryote's gene was built using BP algorithms and genetic algorithms.
研究肿瘤特异性启动子计算机识别的方法，为基于计算机技术的肿瘤特异性启动子识别研究探索方向。
Studied on the method to recognize tumor peculiar promoter. By means of computational methods, we laid the foundation of gene regulatory system research.
研究结果表明：两种方法都具有较好的识别效果，是可行的利用计算机技术进行肿瘤特异性启动子识别的方法。
The method is checked and test result shown that the recognition method was effective to predict tumor peculiar promoter in the sequence.
由于保守序列中的碱基是可变的，而且间隔碱基的长度也是可变，这给大肠杆菌启动子的计算机识别带来了难度。
The nucleotide acids in both conserved sequences are mutative, even the length of the spacer is variable, and they both brought troubles in determining Escherichia coli promoter with computer.
由于保守序列中的堿基是可变的，而且间隔堿基的长度也是可变，这给大肠杆菌启动子的计算机识别带来了难度。
The nucleotide acids in both conserved sequences are mutative, even the length of the spacer is variable, and they both brought troubles in determining escherichia coli promoter with computer.
从实验结果可看出，该方法能较好的识别出启动子序列。
May see from the experimental result, this method can the good recognition start subsequence.
从实验结果可看出，该方法能较好的识别出启动子序列。
May see from the experimental result, this method can the good recognition start subsequence.
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