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Locality-sensitive hashing enables efficient and scalable signal classification in high-throughput mass spectrometry raw data.

Konstantin BobDavid TeschnerThomas KemmerDavid Gomez-ZepedaStefan TenzerBertil SchmidtAndreas Hildebrandt
Published in: BMC bioinformatics (2022)
Generated data and code are available at https://github.com/hildebrandtlab/mzBucket . Raw data is available at https://zenodo.org/record/5036526 .
Keyphrases
  • electronic health record
  • high throughput
  • mass spectrometry
  • big data
  • machine learning
  • deep learning
  • high resolution
  • data analysis
  • single cell
  • tandem mass spectrometry