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Tingfang Wu

Showing results (31-40 of 48) with videos related to

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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.
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.
IEEE Journal of Biomedical and Health Informatics|May 13, 2024
MultiModRLBP: A Deep Learning Approach for Multi-Modal RNA-Small Molecule Ligand Binding Sites PredictionJunkai Wang, Lijun Quan, Zhi Jin, et al.
Nature Communications|August 19, 2025
LABind: identifying protein binding ligand-aware sites via learning interactions between ligand and proteinZhijun Zhang, Lijun Quan, Junkai Wang, et al.
Briefings in Bioinformatics|March 24, 2025
DS-MVP: identifying disease-specific pathogenicity of missense variants by pre-training representationQiufeng Chen, Lijun Quan, Lexin Cao, et al.
Communications Biology|September 30, 2025
PaRPI predicts RNA-Protein interactions from cross-protocol and cross-batch RNA-binding protein datasetsLiangchen Peng, Lijun Quan, Lingkun Meng, et al.
Communications Biology|July 15, 2025
Prediction of pathogenic mutations in human transmembrane proteins and their associated diseases via utilizing pre-trained Bio-LLMsLexin Cao, Lijun Quan, Qiufeng Chen, et al.
Pageof 5

Showing results (31-40 of 48) with videos related to

Sort By:
Pageof 5
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.
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.
IEEE Journal of Biomedical and Health Informatics|May 13, 2024
MultiModRLBP: A Deep Learning Approach for Multi-Modal RNA-Small Molecule Ligand Binding Sites PredictionJunkai Wang, Lijun Quan, Zhi Jin, et al.
Nature Communications|August 19, 2025
LABind: identifying protein binding ligand-aware sites via learning interactions between ligand and proteinZhijun Zhang, Lijun Quan, Junkai Wang, et al.
Briefings in Bioinformatics|March 24, 2025
DS-MVP: identifying disease-specific pathogenicity of missense variants by pre-training representationQiufeng Chen, Lijun Quan, Lexin Cao, et al.
Communications Biology|September 30, 2025
PaRPI predicts RNA-Protein interactions from cross-protocol and cross-batch RNA-binding protein datasetsLiangchen Peng, Lijun Quan, Lingkun Meng, et al.
Communications Biology|July 15, 2025
Prediction of pathogenic mutations in human transmembrane proteins and their associated diseases via utilizing pre-trained Bio-LLMsLexin Cao, Lijun Quan, Qiufeng Chen, et al.
Pageof 5