Author

Ayman Hoque

Hong Kong University of Science and TechnologyORCID 0000-0002-8606-2127Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:perturbation response prediction· 1 Assay:proteomics· 1

Frequent Co-Authors

Henry LamiD· 1 shared James H.W. LiiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Henry LamORCID

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1 paper

Recent·Most cited

SpectroVQ: Noise-Aware Compression of Proteomics Data via Vector-Quantized Deep Learning improves MS/MS data storage and Peptide Identification

James H.W. Li, Ayman Hoque, Henry Lam

SpectroVQ improves proteomics data compression and peptide identification by using a noise-aware vector-quantized autoencoder to retain useful signals and enhance library searches.

bioRxiv · Sep 11, 2026 · PreprintBioinformatics