Diagnostic Evidence GAuge of Single cells (DEGAS): A flexible deep-transfer learning framework for prioritizing cells in relation to disease is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2020). On theSindex it has a DataRank of 0.208. It has been cited 3 times.
Scored on demand from live citation data
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Base Score Contribution
0.208
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: 5U54AG065181-03
IUSM Alzheimer's Disease Drug Discovery Center
National Institutes of Health
Grant: 5F31LM013056-02
Transfer learning approaches for integration of single cell RNA sequencing data from multiple sources
Influential Citations
1
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Keywords
Sustainable Development Goals