DECODE: A De ep-learning Framework for Co n de nsing Enhancers and Refining Boundaries with Large-scale Functional Assays is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2021). On theSindex it has a DataRank of 0.
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: 5U01MH116492-02
1/2 Discovery and validation of neuronal enhancers associated with the development of psychiatric disorders
National Institutes of Health
Grant: 5K01MH123896-02
A big data approach to explore epigenetic heterogeneity and interpret noncoding variants for psychiatric disorders
Fields of Study
Keywords
Sustainable Development Goals