Fuyi Li
Fuyi Li
Research Officer Bioinformatics, The Peter Doherty Institute for Infection and Immunity
E-mail megerősítve itt: unimelb.edu.au - Kezdőlap
Hivatkozott rá
Hivatkozott rá
iFeature: a python package and web server for features extraction and selection from protein and peptide sequences
Z Chen, P Zhao, F Li, A Leier, TT Marquez-Lago, Y Wang, GI Webb, ...
Bioinformatics 31 (14), 2499–2502, 2018
iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data
Z Chen, P Zhao, F Li, TT Marquez-Lago, A Leier, J Revote, Y Zhu, ...
Briefings in Bioinformatics, 2020
iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites
J Song, Y Wang, F Li, T Akutsu, ND Rawlings, GI Webb, KC Chou
Briefings in bioinformatics, 2019
GlycoMine: a machine learning-based approach for predicting N-, C-and O-linked glycosylation in the human proteome
F Li, C Li, M Wang, GI Webb, Y Zhang, JC Whisstock, J Song
Bioinformatics 31 (9), 1411-1419, 2015
PROSPERous: high-throughput prediction of substrate cleavage sites for 90 proteases with improved accuracy
J Song*, F Li*, A Leier, TT Marquez-Lago, T Akutsu, G Haffari, KC Chou, ...
Bioinformatics 34 (4), 684-687, 2018
Quokka: a comprehensive tool for rapid and accurate prediction of kinase family-specific phosphorylation sites in the human proteome.
F Li, C Li, TT Marquez-Lago, A Leier, T Akutsu, AW Purcell, AI Smith, ...
Bioinformatics (Oxford, England), 2018
PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning framework
J Song, F Li, K Takemoto, G Haffari, T Akutsu, KC Chou, GI Webb
Journal of theoretical biology 443, 125-137, 2018
MULTiPly: a novel multi-layer predictor for discovering general and specific types of promoters
M Zhang*, F Li*, TT Marquez-Lago, A Leier, C Fan, KC Chou, J Song, ...
Bioinformatics, 2019
Comparative analysis and prediction of quorum-sensing peptides using feature representation learning and machine learning algorithms
L Wei, J Hu, F Li, J Song, R Su, Q Zou
Briefings in Bioinformatics, 2020
Large-scale comparative assessment of computational predictors for lysine post-translational modification sites
Z Chen, X Liu, F Li, C Li, T Marquez-Lago, A Leier, T Akutsu, GI Webb, ...
Briefings in bioinformatics, 2019
A comprehensive review and performance evaluation of bioinformatics tools for HLA class I peptide-binding prediction
S Mei, F Li, A Leier, TT Marquez-Lago, K Giam, NP Croft, T Akutsu, ...
Briefings in Bioinformatics, 2020
DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites
F Li, J Chen, A Leier, T Marquez-Lago, Q Liu, Y Wang, J Revote, AI Smith, ...
Bioinformatics, 2020
Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods
F Li, Y Wang, C Li, TT Marquez-Lago, A Leier, ND Rawlings, G Haffari, ...
Briefings in Bioinformatics, 2019
Comprehensive review and assessment of computational methods for predicting RNA post-transcriptional modification sites from RNA sequences
Z Chen, P Zhao, F Li, Y Wang, AI Smith, GI Webb, T Akutsu, A Baggag, ...
Briefings in bioinformatics 21 (5), 1676–1696, 2020
GlycoMinestruct: a new bioinformatics tool for highly accurate mapping of the human N-linked and O-linked glycoproteomes by incorporating structural features
F Li, C Li, J Revote, Y Zhang, GI Webb, J Li, J Song, T Lithgow
Scientific reports 6, 34595, 2016
Positive-unlabelled learning of glycosylation sites in the human proteome
F Li, Y Zhang, AW Purcell, GI Webb, KC Chou, T Lithgow, C Li, J Song
BMC Bioinformatics 20 (1), 112, 2019
An interpretable prediction model for identifying N7-methylguanosine sites based on XGBoost and SHAP
Y Bi, D Xiang, Z Ge, F Li*, C Jia*, J Song*
Molecular Therapy-Nucleic Acids, 2020
DeepTorrent: a deep learning-based approach for predicting DNA N4-methylcytosine sites
Q Liu, J Chen, Y Wang, S Li, C Jia*, J Song*, F Li*
Briefings in Bioinformatics 22 (3), 2021
iLearnPlus: a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization
Z Chen, P Zhao, C Li, F Li, D Xiang, YZ Chen, T Akutsu, RJ Daly, GI Webb, ...
Nucleic acids research 49 (10), e60-e60, 2021
Procleave: Predicting Protease-specific Substrate Cleavage Sites by Combining Sequence and Structural Information
F Li, A Leier, Q Liu, Y Wang, D Xiang, T Akutsu, GI Webb, AI Smith, ...
Genomics, Proteomics & Bioinformatics, 2020
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–20