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Plos One|September 18, 2009
Prodepth: predict residue depth by support vector regression approach from protein sequences onlyJiangning Song, Hao Tan, Khalid Mahmood, et al.Journal of Bioinformatics and Computational Biology|February 18, 2011
Bioinformatic approaches for predicting substrates of proteasesJiangning Song, Hao Tan, Sarah E Boyd, et al.Briefings in Bioinformatics|June 30, 2020
DeepVF: a deep learning-based hybrid framework for identifying virulence factors using the stacking strategyRuopeng Xie, Jiahui Li, Jiawei Wang, et al.Methods in Molecular Biology (Clifton, N.J.)|June 13, 2022
Systematic Characterization of Lysine Post-translational Modification Sites Using MUscADELZhen Chen, Xuhan Liu, Fuyi Li, et al.Briefings in Bioinformatics|November 11, 2023
SMG: self-supervised masked graph learning for cancer gene identificationYan Cui, Zhikang Wang, Xiaoyu Wang, et al.Briefings in Bioinformatics|November 13, 2019
Comprehensive review and assessment of computational methods for predicting RNA post-transcriptional modification sites from RNA sequencesZhen Chen, Pei Zhao, Fuyi Li, et al.Briefings in Bioinformatics|October 24, 2018
Computational analysis and prediction of lysine malonylation sites by exploiting informative features in an integrative machine-learning frameworkYanju Zhang, Ruopeng Xie, Jiawei Wang, et al.Bioinformatics (Oxford, England)|February 16, 2023
PFresGO: an attention mechanism-based deep-learning approach for protein annotation by integrating gene ontology inter-relationshipsTong Pan, Chen Li, Yue Bi, et al.Briefings in Bioinformatics|January 12, 2022
Critical assessment of computational tools for prokaryotic and eukaryotic promoter predictionMeng Zhang, Cangzhi Jia, Fuyi Li, et al.Scientific Reports|August 2, 2017
PhosphoPredict: A bioinformatics tool for prediction of human kinase-specific phosphorylation substrates and sites by integrating heterogeneous feature selectionJiangning Song, Huilin Wang, Jiawei Wang, et al.Pageof 26