PSPEL: In Silico Prediction of Self-Interacting Proteins from Amino Acids Sequences Using Ensemble Learning-Reference-Cited by-同舟云学术

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PSPEL: In Silico Prediction of Self-Interacting Proteins from Amino Acids Sequences Using Ensemble Learning

Published:2017-09-01 Issue:5 Volume:14 Page:1165-1172
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

Li Jian-Qiang,You Zhu-Hong,Li Xiao,Ming Zhong,Chen Xing

Funder

National Natural Science Foundation of China

Chinese Academy of Sciences

Guangdong Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/8060276/07812712.pdf?arnumber=7812712

Cited by 54 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DSSGNN-PPI: A Protein–Protein Interactions prediction model based on Double Structure and Sequence graph neural networks;Computers in Biology and Medicine;2024-07

2. Protein–Protein Interfaces: A Graph Neural Network Approach;International Journal of Molecular Sciences;2024-05-28

3. Robust and accurate prediction of self-interacting proteins from protein sequence information by exploiting weighted sparse representation based classifier;BMC Bioinformatics;2022-12-01

4. Computational Methods and Deep Learning for Elucidating Protein Interaction Networks;Methods in Molecular Biology;2022-10-14

5. In silico prediction methods of self-interacting proteins: an empirical and academic survey;Frontiers of Computer Science;2022-10-06

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