A Bayesian framework for combining heterogeneous data sources for gene function prediction (inSaccharomyces cerevisiae) is a research paper published in Proceedings of the National Academy of Sciences (2003). On theSindex it has a DataRank of 0.942. It has been cited 533 times.
Scored on demand from live citation data
Linked data & code
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
0.942
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 →NIGMS NIH HHS
Grant: GM61374
NHGRI NIH HHS
Grant: HG01315
NCI NIH HHS
Grant: CA77097
NHGRI NIH HHS
Grant: U24 HG001315
NLM NIH HHS
Grant: LM06244
NCI NIH HHS
Grant: R01 CA077097
NHGRI NIH HHS
Grant: P41 HG001315
NIGMS NIH HHS
Grant: U01 GM061374
NHGRI NIH HHS
Grant: U41 HG001315
NIGMS NIH HHS
Grant: R24 GM061374
FWCI
12.26
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords