Predicting gene expression from histone marks using chromatin deep learning models depends on histone mark function, regulatory distance and cellular states is a research paper published in Nucleic Acids Research (2025). On theSindex it has a DataRank of 0.360. It has been cited 10 times.
Scored on demand from live citation data
Linked data & code
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
0.360
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.
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Grant: UKDRI-5008
UK Dementia Research Institute
Grant: UKDRI-6009
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Medical Research Council
Edmond and Lily Safra Early Career Fellowship Program
Edmond and Lily Safra Early Career Fellowship Program
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FWCI
1.12
Citation Percentile
0.8%
Citation Trend
Fields of Study
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