Jing Xu

m6ABRP: Predicting m6A-YTHDF2 Binding Regions via Sequence-based Properties

Quanwu Li, Ze Liu, Jing Xu, 2020, ICBBS.

ASPIRER: a new computational approach for identifying non-classical secreted proteins based on deep learning

ZongYuan Ge, J. Li, Jia Rong, 2022, Briefings Bioinform..

Positive-unlabeled learning in bioinformatics and computational biology: a brief review

Shirui Pan, L. Coin, A. Leier, 2021, Briefings Bioinform..

Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides

Jiangning Song, Dong-Jun Yu, Fuyi Li, 2021, Briefings Bioinform..

Multi-modality data-driven analysis of diagnosis and treatment of psoriatic arthritis

Xiang Chen, Zheng Hua Zhu, J. Li, 2023, npj Digital Medicine.

Prediction of zinc-binding sites using multiple sequence profiles and machine learning methods.

Jing Xu, Xiaofeng Wang, Renxiang Yan, 2019, Molecular omics.

iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activities

T. Akutsu, S. Imoto, C. Landersdorfer, 2023, Briefings Bioinform..