Modeling islet enhancers using deep learning identifies candidate causal variants at loci associated with T2D and glycemic traits is a research paper published in medRxiv (2022). On theSindex it has a DataRank of 0.165. It has been cited 2 times.
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Base Score Contribution
0.165
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 →National Institutes of Health
Grant: 5R01DK118011-02
Genetic programming of human islet metabolic and endoplasmic reticulum (ER) stress responses in diabetes
National Institutes of Health
Grant: 1ZIALM200881-08
Regulatory landscape of the human genome: comparative and evolutionary analysis.
National Institutes of Health
Grant: 1ZIAHG000024-26
Genetic analysis of type II diabetes in Finnish population
Fields of Study
Keywords
Sustainable Development Goals