NEBULA: a fast negative binomial mixed model for differential expression and co-expression analyses of large-scale multi-subject single-cell data is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2020). On theSindex it has a DataRank of 0.345. It has been cited 9 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph β 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 β never from an abstract alone.
Base Score Contribution
0.345
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 βNational Institutes of Health
Grant: 5R01AG061853-05
ApoE2 and protective molecular signatures in Alzheimer's disease and aging
National Institutes of Health
Grant: 5R01AG065477-05
Personalized genetic profiles of risk and resilience in Alzheimer's and vascular diseases
National Institutes of Health
Grant: 5R01AG070488-05
Dissecting genetic and non-genetic heterogeneity in predisposition to Alzheimer's disease and vascular traits in pleiotropic context
Fields of Study
Sustainable Development Goals