eukaryotic promoter recognition 真核生物启动子识别
Intron and promoter recognition 内含子和启动子识别
Promoter recognition and classification 启动子的识别和分类
The thesis analysised and researched the basic concept related to rough set theory and the currrent research situation of the computer promoter recognition technology.
针对粗糙集理论的相关基本概念和基于计算机的启动子识别技术的现状进行分析与研究。
参考来源 - 粗糙集理论在启动子识别中的应用研究·2,447,543篇论文数据，部分数据来源于NoteExpress
As a part of which, the recognition of promoter field in eukaryote's gene is very hard.
作为其中的一个工作，真核生物基因启动子区域的识别是一个难点。
On the basis of evolutionary neural network, the recognition model of promoter in eukaryote's gene was built using BP algorithms and genetic algorithms.
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。
The method is checked and test result shown that the recognition method was effective to predict tumor peculiar promoter in the sequence.
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。
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