scaDA: A novel statistical method for differential analysis of single-cell chromatin accessibility sequencing data is a research paper published in PLoS Computational Biology (2024). On theSindex it has a DataRank of 0.312. It has been cited 7 times.
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Base Score Contribution
0.312
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 →NIH
Grant: R35GM142701
NIA NIH HHS
Grant: R01 AG064786
NIA NIH HHS
Grant: R01 AG062577
National Institutes of Health
Grant: 5R35GM142701-05
Computational modeling of genetic variations by multi-omics integration todecipher personal genome
FWCI
1.10
Citation Percentile
0.8%
Citation Trend
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