Deep Active Learning for De Novo Peptide Sequencing from Data-independent-acquisition Mass Spectrometry

ML conference · ICML 2022 Workshop on Computational Biology · 2022

ML conference · ICML 2022 Workshop on Computational Biology · 2022. Shiva Ebrahimi et al.
Date 2022-07-22
Type ML conference
Venue ICML 2022 Workshop on Computational Biology
Contribution algorithm
Link https://icml-compbio.github.io/icml-website-2022/2022/papers/WCBICML2022_paper_60.pdf

Authors

  1. Shiva Ebrahimi · University of North Texas
  2. Xuan Guo · University of North Texas

Methods and tools

  • AL-DeepNovo-DIA: Active-learning wrapper around Tran et al. 2019’s DeepNovo-DIA. Uses acquisition functions to pick the most informative spectra at each training iteration instead of random selection. First published as AL-DeepNovo-DIA (ICML 2022 Workshop on Computational Biology, Ebrahimi & Guo); rebranded ActiveNovo_DIA in Ebrahimi’s 2025 UNT PhD thesis.

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