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Fuyi Li

Showing results (51-60 of 109) with videos related to

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Briefings in Bioinformatics|May 28, 2020
Systematic evaluation of machine learning methods for identifying human-pathogen protein-protein interactionsHuaming Chen, Fuyi Li, Lei Wang, et al.
Water Research|May 31, 2022
Influences of longitudinal gradients on methane-driven membrane biofilm reactor for complete nitrogen removal: A model-based investigationXueming Chen, Fuyi Li, Pengfei Huo, et al.
Briefings in Bioinformatics|June 14, 2018
iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sitesJiangning Song, Yanan Wang, Fuyi Li, et al.
Scientific Reports|October 7, 2016
GlycoMine<sup>struct</sup>: a new bioinformatics tool for highly accurate mapping of the human N-linked and O-linked glycoproteomes by incorporating structural featuresFuyi Li, Chen Li, Jerico Revote, et al.
Bioinformatics (Oxford, England)|July 8, 2022
DeepGenGrep: a general deep learning-based predictor for multiple genomic signals and regionsQuanzhong Liu, Honglin Fang, Xiao Wang, et al.
Briefings in Bioinformatics|May 5, 2020
Computational prediction and interpretation of both general and specific types of promoters in Escherichia coli by exploiting a stacked ensemble-learning frameworkFuyi Li, Jinxiang Chen, Zongyuan Ge, et al.
Briefings in Bioinformatics|May 7, 2023
ATTIC is an integrated approach for predicting A-to-I RNA editing sites in three speciesRuyi Chen, Fuyi Li, Xudong Guo, et al.
Briefings in Bioinformatics|June 19, 2026
Graph-based RNA structural representation reveals determinants of subcellular localizationYi Hao, Heyun Sun, Zixu Ran, et al.
Briefings in Bioinformatics|October 24, 2023
ProsperousPlus: a one-stop and comprehensive platform for accurate protease-specific substrate cleavage prediction and machine-learning model constructionFuyi Li, Cong Wang, Xudong Guo, et al.
Briefings in Bioinformatics|September 14, 2024
Deep learning approaches for non-coding genetic variant effect prediction: current progress and future prospectsXiaoyu Wang, Fuyi Li, Yiwen Zhang, et al.
Pageof 11

Showing results (51-60 of 109) with videos related to

Sort By:
Pageof 11
Briefings in Bioinformatics|May 28, 2020
Systematic evaluation of machine learning methods for identifying human-pathogen protein-protein interactionsHuaming Chen, Fuyi Li, Lei Wang, et al.
Water Research|May 31, 2022
Influences of longitudinal gradients on methane-driven membrane biofilm reactor for complete nitrogen removal: A model-based investigationXueming Chen, Fuyi Li, Pengfei Huo, et al.
Briefings in Bioinformatics|June 14, 2018
iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sitesJiangning Song, Yanan Wang, Fuyi Li, et al.
Scientific Reports|October 7, 2016
GlycoMine<sup>struct</sup>: a new bioinformatics tool for highly accurate mapping of the human N-linked and O-linked glycoproteomes by incorporating structural featuresFuyi Li, Chen Li, Jerico Revote, et al.
Bioinformatics (Oxford, England)|July 8, 2022
DeepGenGrep: a general deep learning-based predictor for multiple genomic signals and regionsQuanzhong Liu, Honglin Fang, Xiao Wang, et al.
Briefings in Bioinformatics|May 5, 2020
Computational prediction and interpretation of both general and specific types of promoters in Escherichia coli by exploiting a stacked ensemble-learning frameworkFuyi Li, Jinxiang Chen, Zongyuan Ge, et al.
Briefings in Bioinformatics|May 7, 2023
ATTIC is an integrated approach for predicting A-to-I RNA editing sites in three speciesRuyi Chen, Fuyi Li, Xudong Guo, et al.
Briefings in Bioinformatics|June 19, 2026
Graph-based RNA structural representation reveals determinants of subcellular localizationYi Hao, Heyun Sun, Zixu Ran, et al.
Briefings in Bioinformatics|October 24, 2023
ProsperousPlus: a one-stop and comprehensive platform for accurate protease-specific substrate cleavage prediction and machine-learning model constructionFuyi Li, Cong Wang, Xudong Guo, et al.
Briefings in Bioinformatics|September 14, 2024
Deep learning approaches for non-coding genetic variant effect prediction: current progress and future prospectsXiaoyu Wang, Fuyi Li, Yiwen Zhang, et al.
Pageof 11