Exploring Massive Risk Factors of Categorical Outcomes via Supervised Dimension Reduction is a research paper published in Journal of Data Science (2025). 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: 1R01AG080917-01
Modeling functional genomics of susceptibility to the persistent effects of environmental toxins in an elderly rural Indiana neurodegenerative cohort
National Institutes of Health
Grant: 3P30CA062203-27S1
Clinical Trial Advancement and Development for Sarcomas
National Science Foundation
Grant: 0844945
CAREER: A New Regularization Framework for Identifying Composite Signatures
National Institutes of Health
Grant: 3R01GM131491-04S1
Modeling Homeostasis of Human Blood Metabolites
FWCI
0.53
Citation Percentile
0.6%
Citation Trend
Fields of Study
Keywords