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Prediction of RNA Structures with Pseudoknots Using Convolutional Neural Network

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成果类型:
期刊论文、会议论文
作者:
Sixin Tang;Shiting Li;Jing Chen
通讯作者:
Tang, S.
作者机构:
[Tang S.; Li S.; Chen J.] College of Computer Science and Technology, Hengyang Normal University, Hengyang, 421002, China
通讯机构:
[Tang, S.] C
College of Computer Science and Technology, China
语种:
英文
关键词:
Convolution neural network;RNA;Structure prediction
期刊:
Advances in Intelligent Systems and Computing
ISSN:
2194-5357
年:
2021
卷:
1143
页码:
311-319
会议名称:
9th International Conference on Computer Engineering and Networks, CENet2019
会议论文集名称:
Proceedings of the 9th International Conference on Computer Engineering and Networks
会议时间:
18 October 2019 through 20 October 2019
主编:
Qi Liu<&wdkj&>Xiaodong Liu<&wdkj&>Lang Li<&wdkj&>Huiyu Zhou<&wdkj&>Hui-Huang Zhao
出版者:
Springer, Singapore
ISBN:
978-981-15-3752-3
基金类别:
This work was supported by Scientific Research Projects (No. 15C0204) of Hunan Education Department and supported by the Science and Technology Plan Project of Hunan Province (2016TP1020). Application-oriented Special Disciplines, Double First-Class University Project of Hunan Province (Xiangjiaotong [2018] 469).
机构署名:
本校为第一机构
院系归属:
计算机科学与技术学院
摘要:
To get better predicted results, we show using convolution neural network inference RNA structure with pseudoknots. First, we expound the deep learning and convolution model and algorithm of the neural network theory, then discuss the key problems for RNA secondary structure prediction using convolution neural network modeling, finally, we design a convolutional neural network to predict RNA structure prediction model and experimental verification of the validity of the model, and the experimental results show that the convolution neural networ...

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