Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Fuyi Li

Showing results (41-50 of 109) with videos related to

Pageof 11
Sort By:
Bioinformatics (Oxford, England)|January 9, 2015
GlycoMine: a machine learning-based approach for predicting N-, C- and O-linked glycosylation in the human proteomeFuyi Li, Chen Li, Mingjun Wang, et al.
Advanced Materials (Deerfield Beach, Fla.)|March 4, 2026
Wood-Structured Electrolyte for Ultra-Stable Zinc-Ion Batteries Under High Discharge ConditionsYonghang Wei, Zhaohui Wang, Jun Li, et al.
Mikrochimica Acta|April 24, 2025
Preparation of immobilized xanthine oxidase with magnetic metal-organic framework and its application in screening of active ingredients in traditional Chinese medicineChenxi Wu, Na Zhang, Hailin Li, et al.
Journal of Theoretical Biology|February 7, 2018
PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning frameworkJiangning Song, Fuyi Li, Kazuhiro Takemoto, et al.
Briefings in Bioinformatics|May 22, 2020
Accurate multistage prediction of protein crystallization propensity using deep-cascade forest with sequence-based featuresYi-Heng Zhu, Jun Hu, Fang Ge, et al.
Genome Biology|November 29, 2025
A scalable equivariant graph network framework for precise protein function predictionZixu Ran, Xudong Guo, Tong Pan, et al.
Briefings in Bioinformatics|November 1, 2024
Graph contrastive learning as a versatile foundation for advanced scRNA-seq data analysisZhenhao Zhang, Yuxi Liu, Meichen Xiao, et al.
Briefings in Bioinformatics|July 6, 2021
Porpoise: a new approach for accurate prediction of RNA pseudouridine sitesFuyi Li, Xudong Guo, Peipei Jin, et al.
Briefings in Bioinformatics|December 14, 2020
Large-scale comparative review and assessment of computational methods for anti-cancer peptide identificationXiao Liang, Fuyi Li, Jinxiang Chen, et al.
Briefings in Bioinformatics|February 17, 2022
ASPIRER: a new computational approach for identifying non-classical secreted proteins based on deep learningXiaoyu Wang, Fuyi Li, Jing Xu, et al.
Pageof 11

Showing results (41-50 of 109) with videos related to

Sort By:
Pageof 11
Bioinformatics (Oxford, England)|January 9, 2015
GlycoMine: a machine learning-based approach for predicting N-, C- and O-linked glycosylation in the human proteomeFuyi Li, Chen Li, Mingjun Wang, et al.
Advanced Materials (Deerfield Beach, Fla.)|March 4, 2026
Wood-Structured Electrolyte for Ultra-Stable Zinc-Ion Batteries Under High Discharge ConditionsYonghang Wei, Zhaohui Wang, Jun Li, et al.
Mikrochimica Acta|April 24, 2025
Preparation of immobilized xanthine oxidase with magnetic metal-organic framework and its application in screening of active ingredients in traditional Chinese medicineChenxi Wu, Na Zhang, Hailin Li, et al.
Journal of Theoretical Biology|February 7, 2018
PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning frameworkJiangning Song, Fuyi Li, Kazuhiro Takemoto, et al.
Briefings in Bioinformatics|May 22, 2020
Accurate multistage prediction of protein crystallization propensity using deep-cascade forest with sequence-based featuresYi-Heng Zhu, Jun Hu, Fang Ge, et al.
Genome Biology|November 29, 2025
A scalable equivariant graph network framework for precise protein function predictionZixu Ran, Xudong Guo, Tong Pan, et al.
Briefings in Bioinformatics|November 1, 2024
Graph contrastive learning as a versatile foundation for advanced scRNA-seq data analysisZhenhao Zhang, Yuxi Liu, Meichen Xiao, et al.
Briefings in Bioinformatics|July 6, 2021
Porpoise: a new approach for accurate prediction of RNA pseudouridine sitesFuyi Li, Xudong Guo, Peipei Jin, et al.
Briefings in Bioinformatics|December 14, 2020
Large-scale comparative review and assessment of computational methods for anti-cancer peptide identificationXiao Liang, Fuyi Li, Jinxiang Chen, et al.
Briefings in Bioinformatics|February 17, 2022
ASPIRER: a new computational approach for identifying non-classical secreted proteins based on deep learningXiaoyu Wang, Fuyi Li, Jing Xu, et al.
Pageof 11