Modeling zero inflation is not necessary for spatial transcriptomics is a dataset published in Zenodo (CERN European Organization for Nuclear Research) (2022). On theSindex it has a DataRank of 0.165, placing it in the top 70.2% of the data-sharing corpus. It has been cited 2 times, with 1 citing works in its 1-hop citation network.
Ranks in the top 70% for downstream scientific impact
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.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.165
From this paper's citation signal
Citation Network Contribution
0
From 0 citing papers with measurable signal
This paper's DataRank is currently driven only by its base citation score. None of the citing papers had measurable citation signal.
Learn more about DataRank methodology →National Institutes of Health
Grant: 5R01GM144960-02
DMS/NIGMS 2: Advanced Statistical Methods for Spatially Resolved Transcriptomics Studies
National Institutes of Health
Grant: 5R01GM126553-08
New directions in single cell genomics method development
National Institutes of Health
Grant: 5R01HG011883-04
Developing new computational tools for spatial transcriptomics data
FWCI
0.08
Citation Percentile
0.4%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals
Modeling zero inflation is not necessary for spatial transcriptomics