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Bioinformatics (Oxford, England)|May 13, 2022
TransPPMP: predicting pathogenicity of frameshift and non-sense mutations by a Transformer based on protein featuresLiangpeng Nie, Lijun Quan, Tingfang Wu, et al.Scientific Reports|October 31, 2024
Detection of effective prestressing of 1860-grade strands based on the microporous methodJianzhou Yun, Shunchao Chen, Chunyan Dong, et al.IEEE Journal of Biomedical and Health Informatics|February 11, 2021
Quantifying Intensities of Transcription Factor-DNA Binding by Learning From an Ensemble of Protein Binding MicroarraysLijun Quan, Jie Mei, Ruji He, et al.IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 25, 2020
Learning Useful Representations of DNA Sequences From ChIP-Seq Datasets for Exploring Transcription Factor Binding SpecificitiesLijun Quan, Xiaoyu Sun, Jian Wu, et al.Journal of Chemical Information and Modeling|July 22, 2025
AACDR: Integrating Graph Isomorphism Networks and Asymmetric Adversarial Domain Adaptation for Cancer Drug Response PredictionYi Zhang, Tingfang Wu, Liangpeng Nie, et al.Journal of Chemical Information and Modeling|June 13, 2025
MMSol: Predicting Protein Solubility with an Antinoise Multimodal Deep ModelJia Xu, Tingfang Wu, Yelu Jiang, et al.Journal of Chemical Information and Modeling|November 18, 2025
MAPCliff-WMGR: Exploring Activity Cliffs in Molecular Activity Prediction Enhanced by Weighted Molecular Graph RepresentationsYiwei Chen, Tingfang Wu, Yelu Jiang, et al.Plos One|March 23, 2023
Study on the relationships between the accumulation and translocation of dry matter and nitrogen and flower/pod development into seeds and seed yields in Chinese milk vetchChunfeng Zheng, Chunzeng Liu, Chao Li, et al.Journal of Chemical Information and Modeling|August 22, 2025
MetaMBP: Few-Shot Multilabel Prediction of Bioactive Peptides Based on Deep Metric Meta-LearningZhenglong Zhou, Tingfang Wu, Yelu Jiang, et al.Briefings in Bioinformatics|May 25, 2026
Identifying batch-integrated domains from spatial transcriptomics via graph autoencoder with contrastive learning based on cross-modality and data augmentationYexuan Mao, Lijun Quan, Xiangyu Chen, et al.Pageof 2