iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence dataZhen Chen, Jiangning Song, Kuo‐Chen Chou et al.|Briefings in Bioinformatics|2019Cited by 436
PROSPER: An Integrated Feature-Based Tool for Predicting Protease Substrate Cleavage SitesJiangning Song, Robert N. Pike, Hao Tan et al.|PLoS ONE|2012Cited by 316
<i>iLearnPlus:</i>a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualizationZhen Chen, Jiangning Song, Pei Zhao et al.|Nucleic Acids Research|2021Cited by 280
iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activitiesJing Xu, Jiangning Song, Fuyi Li et al.|Briefings in Bioinformatics|2023Cited by 102
SMG: self-supervised masked graph learning for cancer gene identificationYan Cui, Jiangning Song, Zhikang Wang et al.|Briefings in Bioinformatics|2023Cited by 15