Protein Folding Recognition Based on Particle Swarm Optimization and Optimal Interval Distribution Machine-Reference-Cited by-同舟云学术

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Protein Folding Recognition Based on Particle Swarm Optimization and Optimal Interval Distribution Machine

Published:2024-05-25 Issue: Volume: Page:2479-2484
ISSN:
Container-title:2024 36th Chinese Control and Decision Conference (CCDC)
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Author:

Dong Siyao¹,Liu Xinge¹,Qiu Yuanlin¹,Li Shan¹

Affiliation:

1. Central South University,School of Mathematics and Statistics,Changsha,China,410083

Funder

Natural Science Foundation of Hunan Province

National Natural Science Foundation of China

National Key Research and Development Program of China

Central South University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10587298/10587321/10588127.pdf?arnumber=10588127

Reference16 articles.

1. Accurate prediction of multi-label protein subcellular localization through multi-view feature learning with RBRL classifier

2. Predicting the multi-label protein subcellular localization through multi-information fusion and MLSI dimensionality reduction based on MLFE classifier

3. MpsLDA-ProSVM: Predicting multi-label protein subcellular localization by wMLDAe dimensionality reduction and ProSVM classifier

4. Improving taxonomy-based protein fold recognition by using global and local features

5. An ensemble approach to protein fold classification by integration of template-based assignment and support vector machine classifier

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