会议论文

Tang, S.

英文

Advances in Intelligent Systems and Computing

2194-5357

2021

1274 AISC

1741-1749

10th International Conference on Computer Engineering and Networks, CENet 2020

16 October 2020 through 18 October 2020

Liu Q.Liu X.Shen T.Qiu X.

Springer Science and Business Media Deutschland GmbH

9789811584619

10.1007/978-981-15-8462-6_199

Acknowledgement. This work was supported by the Application-oriented Special Disciplines, Double First-Class University Project of Hunan Province (Xiangjiaotong [2018] 469), Hunan Provincial Natural Science Foundation of China (2020JJ4152), and Hengyang technology innovation guidance projects (Hengkefa [2020]-5), the Science and Technology Plan Project of Hunan Province (No. 2016TP1020), Postgraduate Research and Innovation Projects of Hunan Province (No. Xiangjiaotong [2019]248-998). Hengyang guided science and technology projects and Application-oriented Special Disciplines (No. Hengkefa [2018]60-31) and Postgraduate Scientific Research Innovation Project of Hunan Province (No. CX20190998).

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This paper presents a new method for modeling RNA secondary structures based on stochastic tree adjoining grammars. In order to get better predict results, we shows using Stochastic Tree Adjoining Grammars to inference RNA secondary structures. firstly, we expound the tree adjoining grammars and stochasitc model and the operations of TAG tree. Secondly, discusses the key problems for RNA secondary structure prediction using tree adjoining grammars modeling, finally we design a tree adjoining grammars model to predict RNA structure, The experime...