DeLTA 2.0: A deep learning pipeline for quantifying single-cell spatial and temporal dynamics is a research paper published in PLoS Computational Biology (2022). On theSindex it has a DataRank of 0.710. It has been cited 113 times.
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Base Score Contribution
0.710
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 Science Foundation
Grant: 2032357
National Science Foundation
Grant: 1804096
National Institutes of Health
Grant: AI153853
NIAID NIH HHS
Grant: R21 AI153853
FWCI
22.51
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
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