Zhenyu Yue

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025

ExplainMIX: Explaining Drug Response Prediction in Directed Graph Neural Networks With Multi-Omics Fusion.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, July, 2025

Interpretable Dynamic Directed Graph Convolutional Network for Multi-Relational Prediction of Missense Mutation and Drug Response.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, February, 2025

deep-AMPpred: A Deep Learning Method for Identifying Antimicrobial Peptides and Their Functional Activities.

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[DOI]

J. Chem. Inf. Model., 2025

DRExplainer: Quantifiable interpretability in drug response prediction with directed graph convolutional network.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2025

Controllable Edge-Type-Specific Interpretation in Multi-relational Graph Neural Networks for Drug Response Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024

Named entity recognition of rice genes and phenotypes based on BiGRU neural networks.

[BibT_eX]

[DOI]

Comput. Biol. Chem., February, 2024

TeaTFactor: A Prediction Tool for Tea Plant Transcription Factors Based on BERT.

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[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

Reusability report: Uncovering associations in biomedical bipartite networks via a bilinear attention network with domain adaptation.

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[DOI]

Nat. Mac. Intell., 2024

Comprehensive Assessment of BERT-Based Methods for Predicting Antimicrobial Peptides.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2024

Controllable Edge-Type-Specific Interpretation in Multi-Relational Graph Neural Networks for Drug Response Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

DRExplainer: Quantifiable Interpretability in Drug Response Prediction with Directed Graph Convolutional Network.

[BibT_eX]

[DOI]

CoRR, 2024

RiceSNP-BST: a deep learning framework for predicting biotic stress-associated SNPs in rice.

[BibT_eX]

[DOI]

Briefings Bioinform., 2024

RiceSNP-ABST: a deep learning approach to identify abiotic stress-associated single nucleotide polymorphisms in rice.

[BibT_eX]

[DOI]

Briefings Bioinform., 2024

A Kidney Paired Donation Program Simulation.

[BibT_eX]

[DOI]

Proceedings of the Winter Simulation Conference, 2024

2023

Prediction of hot spots in protein-DNA binding interfaces based on discrete wavelet transform and wavelet packet transform.

[BibT_eX]

[DOI]

BMC Bioinform., December, 2023

A convolutional network and attention mechanism-based approach to predict protein-RNA binding residues.

[BibT_eX]

[DOI]

Comput. Biol. Chem., August, 2023

Cross-Modality Features Fusion for Synthetic Aperture Radar Image Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

PredinID: Predicting Pathogenic Inframe Indels in Human Through Graph Convolution Neural Network With Graph Sampling Technique.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

GRA-GCN: Dense Granule Protein Prediction in Apicomplexa Protozoa Through Graph Convolutional Network.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022

MTAGCN: predicting miRNA-target associations in Camellia sinensis var. assamica through graph convolution neural network.

[BibT_eX]

[DOI]

BMC Bioinform., 2022

DGPD: a knowledge database of dense granule proteins of the Apicomplexa.

[BibT_eX]

[DOI]

Database J. Biol. Databases Curation, 2022

Building a Natural Language Query and Control Interface for IoT Platforms.

[BibT_eX]

[DOI]

IEEE Access, 2022

2021

dbMCS: A Database for Exploring the Mutation Markers of Anti-Cancer Drug Sensitivity.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2021

A novel few-shot learning method for synthetic aperture radar image recognition.

[BibT_eX]

[DOI]

Neurocomputing, 2021

A Novel Semi-Supervised Convolutional Neural Network Method for Synthetic Aperture Radar Image Recognition.

[BibT_eX]

[DOI]

Cogn. Comput., 2021

PredCID: prediction of driver frameshift indels in human cancer.

[BibT_eX]

[DOI]

Zhenyu Yue

Xinlu Chu

Junfeng Xia

Briefings Bioinform., 2021

2020

A Novel Attention Fully Convolutional Network Method for Synthetic Aperture Radar Image Segmentation.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

dbCPM: a manually curated database for exploring the cancer passenger mutations.

[BibT_eX]

[DOI]

Zhenyu Yue

Le Zhao

Junfeng Xia

Briefings Bioinform., 2020

Identification of Rice Drought-Resistant Gene Based on Gene Expression Profiles and Network Analysis Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2020

ProRice: An Ensemble Learning Approach for Predicting Promoters in Rice.

[BibT_eX]

[DOI]

Yanming Zuo

Hejie Zhou

Zhenyu Yue

Proceedings of the CSAE 2020: The 4th International Conference on Computer Science and Application Engineering, 2020

2019

dbCID: a manually curated resource for exploring the driver indels in human cancer.

[BibT_eX]

[DOI]

Briefings Bioinform., 2019

Distinguishing Driver Missense Mutations from Benign Polymorphisms in Breast Cancer.

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[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2019

2018

Computational Prediction of Driver Missense Mutations in Melanoma.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2018

A Novel Semi-supervised Classification Method Based on Class Certainty of Samples.

[BibT_eX]

[DOI]

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018

2017

A Novel Active Semisupervised Convolutional Neural Network Algorithm for SAR Image Recognition.

[BibT_eX]

[DOI]

Comput. Intell. Neurosci., 2017

2015

Prediction of Clinical Drug Response Based on Differential Gene Expression Levels.

[BibT_eX]

[DOI]

Zhenyu Yue

Yan Chen

Junfeng Xia

Proceedings of the Intelligent Computing Theories and Methodologies, 2015

2012

CloudUDDI: An extended UDDI model for cloud services.

[BibT_eX]

[DOI]

Proceedings of the 2nd IEEE International Conference on Cloud Computing and Intelligence Systems, 2012

Zhenyu Yue

Bibliography

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