Author

Quang Dung Dinh

Université Sorbonne Paris Nord

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Ecology· 1

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:electrophysiology· 1 Organism:plant (other)· 1

Frequent Co-Authors

Daniel KunkiD· 2 shared Phuong D. DaoiD· 2 shared Truong Son HyiD· 2 shared Nalam Vamsi· 1 shared Vamsi J. NalamiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 9 mutual co-author links

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2 shared papersEcology

Daniel KunkORCID

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2 papers

Recent·Most cited

EcologyPLoS ONEPeer-reviewedApr 3, 2025

Machine learning for characterizing plant-insect interactions through electrical penetration graphic signal

Quang Dung Dinh, Daniel Kunk, Truong Son Hy…·Phuong D. Dao

This paper develops a machine learning approach to automate EPG signal segmentation and classification, achieving high accuracy in identifying insect feeding behaviors.

6 citations

plant (other)electrophysiology

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BioinformaticsbioRxivPreprintDec 5, 2024

DiscoEPG: A Python package for characterization of insect electrical penetration graph (EPG) signals

Quang Dung Dinh, Daniel Kunk, Truong Son Hy…·Phuong D. Dao

DiscoEPG is a Python package that automatically annotates insect EPG signals with improved accuracy using machine learning, offering tools for analysis and visualization.

DOI 10.1101/2024.12.05.627099

machine learning (classical)software / tool

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