Liangpeng Nie

According to our database, Liangpeng Nie authored at least 10 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Identifying batch-integrated domains from spatial transcriptomics via graph autoencoder with contrastive learning based on cross-modality and data augmentation.

Yexuan Mao, Lijun Quan, Xiangyu Chen, Siyuan Wang, Guozheng Zhang, Siqi Li, Yelu Jiang, Liangpeng Nie, Tingfang Wu, Lingkun Meng, Qiang Lyu

Briefings Bioinform., 2026

2025

DS-MVP: identifying disease-specific pathogenicity of missense variants by pre-training representation.

Qiufeng Chen, Lijun Quan, Lexin Cao, Bei Zhang, Zhijun Zhang, Liangchen Peng, Junkai Wang, Yelu Jiang, Liangpeng Nie, Geng Li, Tingfang Wu, Qiang Lyu

Briefings Bioinform., March, 2025

MetaMBP: Few-Shot Multilabel Prediction of Bioactive Peptides Based on Deep Metric Meta-Learning.

Zhenglong Zhou, Tingfang Wu, Yelu Jiang, Geng Li, Liangpeng Nie, Jia Xu, Yi Zhang, Yiwei Chen, Lijun Quan, Qiang Lyu

J. Chem. Inf. Model., 2025

AACDR: Integrating Graph Isomorphism Networks and Asymmetric Adversarial Domain Adaptation for Cancer Drug Response Prediction.

Yi Zhang, Tingfang Wu, Liangpeng Nie, Yelu Jiang, Geng Li, Jia Xu, Zhenglong Zhou, Yiwei Chen, Lijun Quan, Qiang Lyu

J. Chem. Inf. Model., 2025

MVCL-DTI: Predicting Drug-Target Interactions Using a Multiview Contrastive Learning Model on a Heterogeneous Graph.

Bei Zhang, Lijun Quan, Zhijun Zhang, Lexin Cao, Qiufeng Chen, Liangchen Peng, Junkai Wang, Yelu Jiang, Liangpeng Nie, Geng Li, Tingfang Wu, Qiang Lyu

J. Chem. Inf. Model., 2025

MMSol: Predicting Protein Solubility with an Antinoise Multimodal Deep Model.

Jia Xu, Tingfang Wu, Yelu Jiang, Liangpeng Nie, Geng Li, Yi Zhang, Zhenglong Zhou, Yiwei Chen, Lijun Quan, Qiang Lyu

J. Chem. Inf. Model., 2025

MAPCliff-WMGR: Exploring Activity Cliffs in Molecular Activity Prediction Enhanced by Weighted Molecular Graph Representations.

Yiwei Chen, Tingfang Wu, Yelu Jiang, Liangpeng Nie, Geng Li, Yi Zhang, Zhenglong Zhou, Jia Xu, Lijun Quan, Qiang Lyu

J. Chem. Inf. Model., 2025

2022

Learning Useful Representations of DNA Sequences From ChIP-Seq Datasets for Exploring Transcription Factor Binding Specificities.

Lijun Quan, Xiaoyu Sun, Jian Wu, Jie Mei, Liqun Huang, Ruji He, Liangpeng Nie, Yu Chen, Qiang Lyu

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

TransPPMP: predicting pathogenicity of frameshift and non-sense mutations by a Transformer based on protein features.

Liangpeng Nie, Lijun Quan, Tingfang Wu, Ruji He, Qiang Lyu

Bioinform., 2022

2021

Quantifying Intensities of Transcription Factor-DNA Binding by Learning From an Ensemble of Protein Binding Microarrays.

Lijun Quan, Jie Mei, Ruji He, Xiaoyu Sun, Liangpeng Nie, Kailong Li, Qiang Lyu

IEEE J. Biomed. Health Informatics, 2021