Chen Li

Orcid: 0000-0002-1847-754X

Affiliations:
  • Monash University, Department of Microbiology, Melbourne, Australia


According to our database1, Chen Li authored at least 30 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
CTISL: a dynamic stacking multi-class classification approach for identifying cell types from single-cell RNA-seq data.
Bioinform., February, 2024

2023
iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activities.
Briefings Bioinform., July, 2023

TripletCell: a deep metric learning framework for accurate annotation of cell types at the single-cell level.
Briefings Bioinform., May, 2023

ATTIC is an integrated approach for predicting A-to-I RNA editing sites in three species.
Briefings Bioinform., May, 2023

PFresGO: an attention mechanism-based deep-learning approach for protein annotation by integrating gene ontology inter-relationships.
Bioinform., March, 2023

VPatho: a deep learning-based two-stage approach for accurate prediction of gain-of-function and loss-of-function variants.
Briefings Bioinform., January, 2023

Multi-modality data-driven analysis of diagnosis and treatment of psoriatic arthritis.
npj Digit. Medicine, 2023

2022
csORF-finder: an effective ensemble learning framework for accurate identification of multi-species coding short open reading frames.
Briefings Bioinform., November, 2022

<i>iFeatureOmega: </i> an integrative platform for engineering, visualization and analysis of features from molecular sequences, structural and ligand data sets.
Nucleic Acids Res., 2022

Critical assessment of computational tools for prokaryotic and eukaryotic promoter prediction.
Briefings Bioinform., 2022

PCfun: a hybrid computational framework for systematic characterization of protein complex function.
Briefings Bioinform., 2022

Positive-unlabeled learning in bioinformatics and computational biology: a brief review.
Briefings Bioinform., 2022

Multi-Scale Coarse-to-Fine Transformer for Frame Interpolation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

SimCTC: A Simple Contrast Learning Method of Text Clustering (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2019
SIMLIN: a bioinformatics tool for prediction of S-sulphenylation in the human proteome based on multi-stage ensemble-learning models.
BMC Bioinform., 2019

Positive-unlabelled learning of glycosylation sites in the human proteome.
BMC Bioinform., 2019

Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods.
Briefings Bioinform., 2019

Large-scale comparative assessment of computational predictors for lysine post-translational modification sites.
Briefings Bioinform., 2019

2018
ProBAPred: Inferring protein-protein binding affinity by incorporating protein sequence and structural features.
J. Bioinform. Comput. Biol., 2018

Quokka: a comprehensive tool for rapid and accurate prediction of kinase family-specific phosphorylation sites in the human proteome.
Bioinform., 2018

Comprehensive assessment and performance improvement of effector protein predictors for bacterial secretion systems III, IV and VI.
Briefings Bioinform., 2018

2016
PolyQ 2.0: an improved version of PolyQ, a database of human polyglutamine proteins.
Database J. Biol. Databases Curation, 2016

PolyQ 2.0: an improved version of PolyQ, a database of human polyglutamine proteins.
Database J. Biol. Databases Curation, 2016

KinetochoreDB: a comprehensive online resource for the kinetochore and its related proteins.
Database J. Biol. Databases Curation, 2016

Critical evaluation of <i>in silico</i> methods for prediction of coiled-coil domains in proteins.
Briefings Bioinform., 2016

2015
GlycoMine: a machine learning-based approach for predicting N-, C- and O-linked glycosylation in the human proteome.
Bioinform., 2015

2014
Towards Positive Unlabeled Learning for Parallel Data Mining: A Random Forest Framework.
Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

2013
Learning from data streams with only positive and unlabeled data.
J. Intell. Inf. Syst., 2013

2009
OcVFDT: one-class very fast decision tree for one-class classification of data streams.
Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, 2009

2008
Bagging One-Class Decision Trees.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008


  Loading...