Polyphony: an Interactive Transfer Learning Framework for Single-Cell Data Analysis is a research paper published in IEEE Transactions on Visualization and Computer Graphics (2022). On theSindex it has a DataRank of 0.449. It has been cited 19 times.
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.
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Base Score Contribution
0.449
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: OT2OD02667
National Institutes of Health
Grant: R33CA263666
National Institutes of Health
Grant: UM1HG011536
National Institutes of Health
Grant: T32HG002295
Hong Kong Theme-based Research Scheme
Grant: T41-709/17N
NIH HHS
Grant: OT2 OD033758
NIH HHS
Grant: OT2 OD026677
National Institutes of Health
Grant: 5T32HG002295-23
Training in Bioinformatics and Integrative Genomics
National Institutes of Health
Grant: 5UM1HG011536-03
Center for 3D Structure and Physics of the Genome
National Institutes of Health
Grant: 1R33CA263666-01
Integrative Visualization of Spatiotemporal Tumor Atlases
FWCI
1.34
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords