Jiangning Song
Discovery Institute(US)Australian Regenerative Medicine Institute(AU)Sustainable Development Institute(US)Monash University(AU)Monash Institute of Medical Research(AU)
Publications by Year
Research Areas
Machine Learning in Bioinformatics, RNA and protein synthesis mechanisms, Protein Structure and Dynamics, Genomics and Phylogenetic Studies, Bioinformatics and Genomic Networks
Most-Cited Works
- → iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences(2018)681 cited
- → iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data(2019)432 cited
- → ACPred-FL: a sequence-based predictor using effective feature representation to improve the prediction of anti-cancer peptides(2018)431 cited
- → PROSPER: An Integrated Feature-Based Tool for Predicting Protease Substrate Cleavage Sites(2012)315 cited
- → iLearnPlus:a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization(2021)267 cited
- → iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites(2018)