Chen Cao

Orcid: 0000-0001-5343-808X

Affiliations:
  • Nanjing University Medical School, School of Biomedical Engineering and Information, China
  • University of Calgary, Department of Biochemistry and Molecular Biology, AB, Caanda
  • Jilin University, College of Computer Science and Technology, China (PhD 2016)


According to our database1, Chen Cao authored at least 20 papers between 2019 and 2025.

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Bibliography

2025
MMDDI-SSE: A Novel Multi-Modal Feature Fusion Model With Static Subgraph Embedding for Drug-Drug Interaction Event Prediction.
IEEE J. Biomed. Health Informatics, August, 2025

MMPD-DTA: Integrating Multi-Modal Deep Learning with Pocket-Drug Graphs for Drug-Target Binding Affinity Prediction.
J. Chem. Inf. Model., 2025

Heterogeneous Graph Contrastive Learning with Graph Diffusion for Drug Repositioning.
J. Chem. Inf. Model., 2025

BiRNN-DDI: A Drug-Drug Interaction Event Type Prediction Model Based on Bidirectional Recurrent Neural Network and Graph2Seq Representation.
J. Comput. Biol., 2025

DTI-BGCGCN: A novel bipartite graph-based cluster graph convolutional network for drug-target interaction prediction in modern and traditional chinese medicine.
Comput. Biol. Chem., 2025

2024
DeepTGIN: a novel hybrid multimodal approach using transformers and graph isomorphism networks for protein-ligand binding affinity prediction.
J. Cheminformatics, December, 2024

EHR-HGCN: An Enhanced Hybrid Approach for Text Classification Using Heterogeneous Graph Convolutional Networks in Electronic Health Records.
IEEE J. Biomed. Health Informatics, March, 2024

Multimodal Representation Learning via Graph Isomorphism Network for Toxicity Multitask Learning.
J. Chem. Inf. Model., 2024

Multiome-wide Association Studies: Novel Approaches for Understanding Diseases.
Genom. Proteom. Bioinform., 2024

MMDDI-MGPFF: Multi-Modal Drug Representation Learning with Molecular Graph and Pharmacological Feature Fusion for Drug-Drug Interaction Event Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Human-Spa: An Online Platform Based on Spatial Transcriptome Data for Diseases of Human Systems.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study.
Nucleic Acids Res., 2022

Single-cell RNA analysis reveals the potential risk of organ-specific cell types vulnerable to SARS-CoV-2 infections.
Comput. Biol. Medicine, 2022

A novel method for drug-target interaction prediction based on graph transformers model.
BMC Bioinform., 2022

webSCST: an interactive web application for single-cell RNA-sequencing data and spatial transcriptomic data integration.
Bioinform., 2022

Botanical drugs: a new strategy for structure-based target prediction.
Briefings Bioinform., 2022

2021
WgLink: reconstructing whole-genome viral haplotypes using L0+L1-regularization.
Bioinform., 2021

kTWAS: integrating kernel machine with transcriptome-wide association studies improves statistical power and reveals novel genes.
Briefings Bioinform., 2021

2019
Using discriminative vector machine model with 2DPCA to predict interactions among proteins.
BMC Bioinform., 2019

PRESM: personalized reference editor for somatic mutation discovery in cancer genomics.
Bioinform., 2019


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