| 用人工神经网络方法确定真核基因启动子 |
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| 引用本文： | 蔡煜东 周斌. 用人工神经网络方法确定真核基因启动子[J]. 生物数学学报, 1994, 9(1): 77-80 |
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| 作者姓名： | 蔡煜东 周斌 |
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| 作者单位： | 中国科学院上海冶金研究所!上海200050(蔡煜东)，中国科学院上海生物工程研究中心!上海200233(周斌，陈常庆)，华东师范大学数学系!上海20062(陈德辉) |
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| 摘 要： | 本文运用神经网络方法，并结合分子生物学的有关理论与实验统计事实，对真核基因启动子区域进行了识别．文中选择了人类、牛、猪、猫、山羊、兔、绵羊、大鼠、小鼠、小马、仓鼠、鸡、鸭、大豆等共13种真核生物360个基因组，作为研究对象．学习组选择了300个基因组，预测组选择了60基因组．结果表明，将神经网络模型与基因理论相结合，能够运用计算方法，从大量的可能启动子组合中排列出唯一的启动子区域．
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| 关 键 词： | 真核基因 启动子 TATA盒 CAAT盒 GC盒 人工神经网络 “反向传播”模型 |
DETERMINATION OF PROMOTER IN EUKARYOTIC GENE BY NEURAL NETWORK APPROACH |
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| Cai Yudong,Zhou Bin,Chen Changqing,Chen Dehui. DETERMINATION OF PROMOTER IN EUKARYOTIC GENE BY NEURAL NETWORK APPROACH[J]. Journal of Biomathematics, 1994, 9(1): 77-80 |
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| Authors: | Cai Yudong Zhou Bin Chen Changqing Chen Dehui |
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| Abstract: | In this paper,a neural network method(including molecubiology theory and expermental statistical facts)was applied to predict the promoter locations in eukaryotic gene.360 genes of 14 kinds of organisms including human,bull,pig,cat,goat,rabbit,sheep,rat,mouse,house,hamster,chicken,duck and bean were selected as an object of study.In thses genes,300 genes were selected as the training set to construct a net-work model and other 60 genes were used as the samples for prediction.As a result,by using neural network method and gene thegry,the position of promoter could be obtained by computer from numerous possible combinations of predicted promoters. |
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| Keywords: | Eukaryote Gene Promoter TATA box.CAAT box GC box Artificial Neural Network Back-Propagation Model. |
| 本文献已被 CNKI 维普 等数据库收录！ |
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