Predicting regulatory variants using a dense epigenomic mapped CNN model elucidated the molecular basis of trait-tissue associations is a research paper published in Nucleic Acids Research (2020). On theSindex it has a DataRank of 0. It has been cited 23 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.
National Institutes of Health
Grant: R01LM012806
National Institutes of Health
Grant: R03DE027711
National Institutes of Health
Grant: R03DE028103
Cancer Prevention and Research Institute of Texas
Grant: CPRIT RP180734
National Institutes of Health
Grant: 5R03DE028103-02
Mining Genomic Data in FaceBase for Cleft Genes
National Institutes of Health
Grant: 5R03DE027711-02
Deep learning methods to predict the function of genetic variants in orofacial clefts
National Institutes of Health
Grant: 1R01LM012806-01
Predicting Phenotype by Using Transcriptomic Alteration as Endophenotype
FWCI
2.40
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals