Tianyi Zhao

Orcid: 0000-0003-1913-081X

Affiliations:
  • Harbin Institute of Technology, School of Medicine and Heath, Harbin, China
  • Harbin Institute of Technology, Faculty of Computing, Harbin, China


According to our database1, Tianyi Zhao authored at least 28 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
DMGAT: predicting ncRNA-drug resistance associations based on diffusion map and heterogeneous graph attention network.
Briefings Bioinform., March, 2025

GDTGO: Advancing Protein Function Prediction via Graph Convolutional Network and Iterative Optimization.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

GE-MFAT: Heterogeneous Graph Feature Transfer with Focusing Attention for Protein-Metabolite Interaction Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

ClinicViT for Predicting Primary Tumor Types and Survival Analysis of Brain Metastases Using MRI Based on Pre-Trained Large Model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024
PUTransGCN: identification of piRNA-disease associations based on attention encoding graph convolutional network and positive unlabelled learning.
Briefings Bioinform., May, 2024

KGE-UNIT: toward the unification of molecular interactions prediction based on knowledge graph and multi-task learning on drug discovery.
Briefings Bioinform., March, 2024

THItoGene: a deep learning method for predicting spatial transcriptomics from histological images.
Briefings Bioinform., January, 2024

CellContrast: Reconstructing spatial relationships in single-cell RNA sequencing data via deep contrastive learning.
Patterns, 2024

SCancerRNA: Expression at the Single-cell Level and Interaction Resource of Non-coding RNA Biomarkers for Cancers.
Genom. Proteom. Bioinform., 2024

HGGN: Prediction of microRNA-Mediated drug sensitivity based on interpretable heterogeneous graph global-attention network.
Future Gener. Comput. Syst., 2024

Long-read sequencing unveils novel somatic variants and methylation patterns in the genetic information system of early lung cancer.
Comput. Biol. Medicine, 2024

HBFormer: a single-stream framework based on hybrid attention mechanism for identification of human-virus protein-protein interactions.
Bioinform., 2024

2023
gutMDisorder v2.0: a comprehensive database for dysbiosis of gut microbiota in phenotypes and interventions.
Nucleic Acids Res., January, 2023

2022
Metastasis-related gene identification by compound constrained NMF and a semisupervised cluster approach using pancancer multiomics features.
Comput. Biol. Medicine, 2022

2021
SC2disease: a manually curated database of single-cell transcriptome for human diseases.
Nucleic Acids Res., 2021

Prediction and collection of protein-metabolite interactions.
Briefings Bioinform., 2021

Identifying drug-target interactions based on graph convolutional network and deep neural network.
Briefings Bioinform., 2021

Deep-DRM: a computational method for identifying disease-related metabolites based on graph deep learning approaches.
Briefings Bioinform., 2021

Novel Multikernel Trick for Predicting Pan-CancerDistant Metastatic Sites Using a Feature Extraction Strategy.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
DRACP: a novel method for identification of anticancer peptides.
BMC Bioinform., 2020

DeepLGP: a novel deep learning method for prioritizing lncRNA target genes.
Bioinform., 2020

2019
Identifying Alzheimer's disease-related proteins by LRRGD.
BMC Bioinform., 2019

Identification of anticancer peptides based on Random Relevance Vector Machines.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Identifying diseases-related metabolites using random walk.
BMC Bioinform., 2018

A Novel Method for Identifying Alzheimer's Disease-related Proteins.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
A novel method to identify pre-microRNA in various species knowledge base on various species.
J. Biomed. Semant., 2017

Identifying diseases-related metabolites based on network.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
A novel method to identify pre-microRNA in various species knowledge base.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016


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