Chen Li

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Jiangning (John) SongProfessor, Biomedicine Discovery Institute, Monash UniversityDirección de correo verificada de monash.edu
Geoff WebbProfessor, Department of Data Science and Artificial Intelligence, Monash UniversityDirección de correo verificada de monash.edu
Anthony PurcellMonash University, AustraliaDirección de correo verificada de monash.edu
Tatsuya AkutsuProfessor, Bioinformatics Center, Institute for Chemical Research, Kyoto UniversityDirección de correo verificada de kuicr.kyoto-u.ac.jp
Trevor LithgowMonash UniversityDirección de correo verificada de monash.edu
Pouya FaridiAssistant Prof at Hudson Institute for Medical ResearchDirección de correo verificada de monash.edu
Jian LiMonash UniversityDirección de correo verificada de monash.edu
Roger DalyDept of Biochemistry and Molecular Biology, Monash UniversityDirección de correo verificada de monash.edu
Robin GasserThe University of MelbourneDirección de correo verificada de unimelb.edu.au
James WhisstockMonash University, ARC Centre of Excellence in Advanced Molecular Imaging, EMBL AustraliaDirección de correo verificada de monash.edu
Lachlan CoinPeter Doherty Institute for Infection and Immunity and University of Melbourne Centre for CancerDirección de correo verificada de unimelb.edu.au
Ashley BuckleReplayDirección de correo verificada de replay.bio
Lukasz KurganComputer Science, Virginia Commonwealth UniversityDirección de correo verificada de vcu.edu
Tony VelkovMelbourne UniversityDirección de correo verificada de unimelb.edu.au
Professor Jamie Rossjohn FAA FLS...Monash UniversityDirección de correo verificada de monash.edu
Aebersold RETH ZurichDirección de correo verificada de imsb.biol.ethz.ch
Paul J. HertzogHudson Institute of Medical ResearchDirección de correo verificada de monash.edu
Nicola TernetteUniversity of OxfordDirección de correo verificada de ndm.ox.ac.uk
Seiya ImotoProfessor of Institute of Medical Science, University of TokyoDirección de correo verificada de ims.u-tokyo.ac.jp
Jianhua YaoTencentDirección de correo verificada de tencent.com

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Chen Li

Otros nombres李晨

ARC Future Fellow, Lab Head, Monash University

Dirección de correo verificada de monash.edu - Página principal

Systems Biology Multi-omics Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	203	2015
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, ... Nucleic Acid Research, 2021	192	2021
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 1, 9, 2018	168	2018
A subset of HLA-I peptides are not genomically templated: Evidence for cis-and trans-spliced peptide ligands P Faridi, C Li, SH Ramarathinam, JP Vivian, PT Illing, NA Mifsud, R Ayala, ... Science immunology 3 (28), eaar3947, 2018	165	2018
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 20 (6), 2267-2290, 2019	123	2019
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 20 (6), 2150-2166, 2019	96	2019
GlycoMine struct: 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 (1), 1-16, 2016	86	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), 1-17, 2019	78	2019
Regulating polymyxin resistance in Gram-negative bacteria: roles of two-component systems PhoPQ and PmrAB J Huang, C Li, J Song, T Velkov, L Wang, Y Zhu, J Li Future Microbiology 15 (6), 445-459, 2020	75	2020
Comprehensive assessment and performance improvement of effector protein predictors for bacterial secretion systems III, IV and VI Y An, J Wang, C Li*, A Leier, T Marquez-Lago, J Wilksch, Y Zhang, ... Briefings in bioinformatics 19 (1), 148-161, 2018	71	2018
OcVFDT: one-class very fast decision tree for one-class classification of data streams C Li, Y Zhang, X Li KDD 2009 Workshop on Knowledge Discovery from Sensor Data, 79-86, 2009	65	2009
Positive-unlabeled learning in bioinformatics and computational biology: a brief review F Li, S Dong, A Leier, M Han, X Guo, J Xu, X Wang, S Pan, C Jia, Y Zhang, ... Briefings in Bioinformatics, 2022	60	2022
Spliced Peptides and Cytokine-Driven Changes in the Immunopeptidome of Melanoma P Faridi, K Woods, S Ostrouska, C Deceneux, R Aranha, D Duscharla, ... Cancer Immunology Research 8 (10), 2020	56	2020
iFeatureOmega – an integrative platform for engineering, visualization and analysis of features from molecular sequences, structural and ligand data sets Z Chen, X Liu, P Zhao, C Li, Y Wang, F Li, T Akutsu, C Bain, ... Nucleic Acids Research, 2022	55	2022
PCprophet: a framework for protein complex prediction and differential analysis using proteomic data A Fossati, C Li†, F Uliana, F Wendt, F Frommelt, P Sykacek, M Heusel, ... Nature Methods, 2021	53	2021
SecretEPDB: a comprehensive web-based resource for secreted effector proteins of the bacterial types III, IV and VI secretion systems Y An, J Wang, C Li, J Revote, Y Zhang, T Naderer, M Hayashida, T Akutsu, ... Scientific reports 7 (1), 41031, 2017	46	2017
iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activities J Xu, F Li, C Li, X Guo, C Landersdorfer, HH Shen, AY Peleg, J Li, ... Briefings in Bioinformatics, 2023	45	2023
ggVolcanoR: A Shiny app for customizable visualization of differential expression datasets KA Mullan*, LM Bramberger, PR Munday, G Goncalves, J Revote, ... Computational and Structural Biotechnology Journal 19, 5735-5740, 2021	43	2021
SPAR: a random forest-based predictor for self-interacting proteins with fine-grained domain information X Liu, S Yang, C Li, Z Zhang, J Song Amino Acids 48, 1655-1665, 2016	32	2016
The α-importome of mammalian germ cell maturation provides novel insights for importin biology A Arjomand, MA Baker, C Li, AM Buckle, DA Jans, KL Loveland, ... The FASEB Journal 28 (8), 3480-3493, 2014	31	2014

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