Predicting peptide properties from mass spectrometry data using deep attention-based multitask network and uncertainty quantification is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2024). On theSindex it has a DataRank of 0. It has been cited 1 time.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
National Institutes of Health
Grant: 1R35GM153434-01
Machine-Learning Models for big data omics
National Science Foundation
Grant: 2312599
OAC Core: High Performance Computing Algorithms and Software for large-scale Mass Spectrometry based Omics
Fields of Study
Keywords
Sustainable Development Goals