CHOIR improves significance-based detection of cell types and states from single-cell data is a research paper. On theSindex it has a DataRank of 0.416. It has been cited 15 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
0.416
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: 3P01AG073082-03S1
Decoding the Multifactorial Etiology of Neural Network Dysfunction in Alzheimer's Disease
National Institutes of Health
Grant: 1U01AG072573-01
Multi-omic functional assessment of novel AD variants using high-throughput and single-cell technologies
National Institutes of Health
Grant: 5UM1HG012076-04
Single-cell Mapping Center for Human Regulatory Elements and Gene Activity
National Institutes of Health
Grant: 1R21AG085079-01
Transcriptomic and Proteomic Analysis of Tau-dependent E/I Imbalance
NIA NIH HHS
Grant: P01 AG073082
NIA NIH HHS
Grant: U01 AG072573
Fields of Study
Keywords
Sustainable Development Goals