Identification of motifs with insertions and deletions in protein sequences using self-organizing neural networks
文献类型：期刊论文
| 作者 | Liu, DR; Xiong, XX; Hou, ZG ; DasGupta, B
|
| 刊名 | NEURAL NETWORKS
 |
| 出版日期 | 2005-06-01 |
| 卷号 | 18期号:5-6页码:835-842 |
| 关键词 | DNA motif identification multiple sequence alignment neural network self-organization |
| 英文摘要 | The problem of motif identification in protein sequences has been studied for many years in the literature. Current popular algorithms of motif identification in protein sequences face two difficulties, high computational cost and the possibility of insertions and deletions. In this paper, we provide a new strategy that solve the problem more efficiently. We develop a self-organizing neural network structure with multiple levels of subnetworks to make an intelligent classification of the subsequences obtained from protein sequences. We maintain a low computational complexity through the use of this multi-level structure so that the classification of each subsequence is performed with respect to a small subspace of the whole input space. The new definition of pairwise distance between motif patterns provided in this paper can deal with up to two insertions/deletions allowed in a motif, while other existing algorithm can only deal with one insertion or deletion. We also maintain a high reliability using our self-organizing neural network since it will grow as needed to make sure all input patterns are considered and are given the same amount of attention. Simulation results show that our algorithm significantly outperforms existing algorithms in both accuracy and reliability aspects. (c) 2005 Elsevier Ltd. All rights reserved. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence |
| 研究领域[WOS] | Computer Science |
| 关键词[WOS] | ALIGNMENT |
| 收录类别 | ISTP ; SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000232096500044 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/9086]  |
| 专题 | 自动化研究所_09年以前成果 |
| 作者单位 | 1.Univ Illinois, Dept Elect & Comp Engn, Chicago, IL 60607 USA 2.Chinese Acad Sci, Key Lab Complex Syst & Intelligence Sci, Beijing, Peoples R China 3.Univ Illinois, Dept Comp Sci, Chicago, IL USA |
| 推荐引用方式 GB/T 7714 | Liu, DR,Xiong, XX,Hou, ZG,et al. Identification of motifs with insertions and deletions in protein sequences using self-organizing neural networks[J]. NEURAL NETWORKS,2005,18(5-6):835-842. |
| APA | Liu, DR,Xiong, XX,Hou, ZG,&DasGupta, B.(2005).Identification of motifs with insertions and deletions in protein sequences using self-organizing neural networks.NEURAL NETWORKS,18(5-6),835-842. |
| MLA | Liu, DR,et al."Identification of motifs with insertions and deletions in protein sequences using self-organizing neural networks".NEURAL NETWORKS 18.5-6(2005):835-842. |
入库方式： OAI收割
来源：自动化研究所
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