Biologically informed neural network models are robust to spurious interactions via self-pruning is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2025). On theSindex it has a DataRank of 0.104. 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.
Base Score Contribution
0.104
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →Grant: 2020.0239
NIH Common Fund
Grant: IMPAcTB #75N93019C00071
NIH Common Fund
Grant: U19-AI167899
NIH Common Fund
Grant: U19-AI135995
MIT-Novo Nordisk Artificial Intelligence Postdoctoral Fellows Program
Grant: CRI12812
NIAID NIH HHS
Grant: 75N93019C00071
NIAID NIH HHS
Grant: U19 AI135995
NIAID NIH HHS
Grant: U19 AI167899