Scheduled Maintenance on Monday 1/13/2025

Single article sales and account management will be unavailable from 5:00 AM - 7:00 PM ET (09:00 - 23:00 UTC). We apologize for the inconvenience.

IEEE.org
IEEE Xplore
IEEE SA
IEEE Spectrum
More Sites

- Donate
- Personal Sign In

Institutional Sign In

ADVANCED SEARCH

Author details

< Back

Zhibin Lv

Publications

Citations

Publications by Year

20202022

Co-Authors:

Hui DingKe HanJiaqi MaHua ShiYu Wang

Show All Co-Authors (11)

Zhibin Lv

Affiliation

Department of medical instruments and information

College of Biomedical Engineering

Sichuan University, Chengdu, China

Publication Topics

10-fold Cross-validation,
Matthews Correlation Coefficient,
Support Vector Machine,
Bidirectional Encoder Representations,
Bidirectional Long Short-term Memory,
Chemical Properties,
Classification Performance,
Coli DNA,
Consecutive Bases,
Cross-validation Accuracy,
Cross-validation Test,
Cysteine Residues

Biography

Zhibin Lv received the degree in materials and chemistry and had a research focus on polymers, nano-materials, and solar cell, from 2004 to July 2013. He worked as an Assistant Professor and a Senior Engineer of nuclear materials and testing with the China Academy of Engineering Physics, from July 2013 to April 2017. Then, he joined the Fine Chemicals Department, Chengrand Institute of Chemical Industry Company, Ltd., as a Department Deputy, responsible for epoxy resin research and development. Since May 2019, he has been a Postdoctoral Researcher with the University of Electronic Science and Technology of China. His research interests focus on the application of artificial intelligence to cheminformatics and bioinformatics.(Based on document published on 14 January 2020).

Publications

Citations

Publications by Year

20202022

Co-Authors:

Hui Ding
Ke Han
Jiaqi Ma
Hua Shi
Yu Wang

Show All Co-Authors (11)

Author's Published Works

Search History

Showing 1-2 of 2 results

Journals (2)

Sort

Filter Results

Show

All Results

Open Access Only

Range
Single Year
Zhibin Lv(2)
Donghua Wang(1)
Fang Xie(1)
Lei Xu(1)
Yu Wang(1)
School of Opto-electronic and Communication Engineering, Xiamen University of Technology, Xiamen, China(1)
School of Computer and Information Engineering, Heilongjiang Provincial Key Laboratory of Electronic Commerce and Information Processing, Harbin University of Commerce, Harbin, China(1)
Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China(1)
Department of General Surgery, Heilongjiang Province Land Reclamation Headquarters General Hospital, Harbin, China(1)
Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China(1)
IEEE Access(1)
IEEE Journal of Biomedical and Health Informatics(1)
IEEE(2)
10-fold Cross-validation(2)
Matthews Correlation Coefficient(2)
Support Vector Machine(2)
Bidirectional Encoder Representations(1)
Bidirectional Long Short-term Memory(1)

Select All on Page

Sort By

Results

Mul-SNO: A Novel Prediction Tool for S-Nitrosylation Sites Based on Deep Learning Methods

Qian Zhao;Jiaqi Ma;Yu Wang;Fang Xie;Zhibin Lv;Yaoqun Xu;Hua Shi;Ke Han

IEEE Journal of Biomedical and Health Informatics

Year: 2022 | Volume: 26, Issue: 5 | Journal Article |

Cited by: Papers (9)

HTML

Protein s-nitrosylation (SNO) is one of the most important post-translational modifications and is formed by the covalent modification of nitric oxide and cysteine residues. Extensive studies have shown that SNO plays a pivotal role in the plant immune response and treating various major human diseases. In recent years, SNO sites have become a hot research topic. Traditional biochemical methods fo...Show More

Mul-SNO: A Novel Prediction Tool for S-Nitrosylation Sites Based on Deep Learning Methods

Qian Zhao;Jiaqi Ma;Yu Wang;Fang Xie;Zhibin Lv;Yaoqun Xu;Hua Shi;Ke Han

IEEE Journal of Biomedical and Health Informatics

Year: 2022 | Volume: 26, Issue: 5 | Journal Article |

Escherichia Coli DNA N-4-Methycytosine Site Prediction Accuracy Improved by Light Gradient Boosting Machine Feature Selection Technology

Zhibin Lv;Donghua Wang;Hui Ding;Bineng Zhong;Lei Xu

IEEE Access

Year: 2020 | Volume: 8 | Journal Article |

Cited by: Papers (48)

HTML

Recently, several machine-learning-based DNA N-4-methycytosine (4mC) predictors have been developed to provide deeper insight into the biological functions and mechanisms of 4mC. However, the performance of the existing classifiers for identification of Escherichia coli DNA 4mC sites is inadequate. Here, we present a new support vector machine 4mC predictor, named iEC4mC-SVM, for Escherichia coli ...Show More

Escherichia Coli DNA N-4-Methycytosine Site Prediction Accuracy Improved by Light Gradient Boosting Machine Feature Selection Technology

Zhibin Lv;Donghua Wang;Hui Ding;Bineng Zhong;Lei Xu

IEEE Access

Year: 2020 | Volume: 8 | Journal Article |

IEEE Personal Account

Change username/password

Purchase Details

Payment Options
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

Follow

A public charity, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.

IEEE Account

Change Username/Password
Update Address

Purchase Details

Payment Options
Order History
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical Interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

About IEEE Xplore
Contact Us
Help
Accessibility
Terms of Use
Nondiscrimination Policy
Sitemap
Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.