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PreprintAll rights reservedbioRxiv

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

  • H. Lam1
  • J. H. W. Li
  • A. Hoque
  1. 1Hong Kong University of Science and Technology
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Cite

BibTeXRIS
BibTeX
@misc{lam2026spectrovq,
  title = {{SpectroVQ: Noise-Aware Compression of Proteomics Data via Vector-Quantized Deep Learning improves MS/MS data storage and Peptide Identification}},
  author = {H. Lam and J. H. W. Li and A. Hoque},
  howpublished = {bioRxiv},
  year = {2026},
  month = sep,
  doi = {10.64898/2026.09.05.749393},
  url = {https://www.biorxiv.org/content/10.64898/2026.09.05.749393v1},
}
RIS
TY  - UNPB
TI  - SpectroVQ: Noise-Aware Compression of Proteomics Data via Vector-Quantized Deep Learning improves MS/MS data storage and Peptide Identification
AU  - H. Lam
AU  - J. H. W. Li
AU  - A. Hoque
PY  - 2026
DA  - 2026/09/05
PB  - bioRxiv
DO  - 10.64898/2026.09.05.749393
UR  - https://www.biorxiv.org/content/10.64898/2026.09.05.749393v1
ER  -