Author

Gnei Z. Badoordeen

The Alfred Hospital

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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Genomics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 2 Research Focus:drug response / drug discovery· 2 Approach:deep learning· 1 Approach:graph neural network· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Anton Yariv PelegiD· 2 shared David L. DoweiD· 2 shared Hoai-An NguyeniD· 2 shared Jessica A. WisniewskiiD· 2 shared Jiangning SongiD· 2 shared Luke V. BlakewayiD· 2 shared Nenad MaćešićiD· 2 shared Ravali TheegalaiD· 2 shared

Activity by Year

2024-2026 · peak 1/yr

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10 top collaborators · 44 mutual co-author links

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2 shared papersGenomics

Anton Yariv PelegORCID

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2 papers

Recent·Most cited

GenomicsNature CommunicationsPeer-reviewedMar 6, 2026

AMR-GNN: A multi-representation graph neural network framework to enable genomic antimicrobial resistance prediction

Hoai-An Nguyen, Anton Y. Peleg, Jessica A. Wisniewski…·Nenad Maćešić

AMR-GNN predicts antimicrobial resistance using a graph neural network framework that integrates multiple genomic representations from whole-genome sequencing data.

11 citationstop 1%

bacteria (other)whole-genome sequencing

𝕏 PostBluesky

MicrobiologymSystemsPeer-reviewedAug 16, 2024

Predicting Pseudomonas aeruginosa drug resistance using artificial intelligence and clinical MALDI-TOF mass spectra

Hoai-An Nguyen, Anton Yariv Peleg, Jiangning Song…·Nenad Maćešić

This paper uses AI with MALDI-TOF mass spectra to predict antibiotic resistance in Pseudomonas aeruginosa, achieving high accuracy for specific drug combinations.

49 citationstop 1%

bacteria (other)metagenomics

𝕏 PostBluesky