CellMeSH: probabilistic cell-type identification using indexed literature is a research paper published in Bioinformatics (2021). On theSindex it has a DataRank of 0. It has been cited 16 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph β 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 β never from an abstract alone.
National Institutes of Health
Grant: R21CA246358
National Institutes of Health
Grant: R01HG009892
National Institutes of Health
Grant: 1R01HG008164
National Science Foundation CCF
Grant: 1651236
National Science Foundation CCF
Grant: NSF CIF 1703403
NHGRI NIH HHS
Grant: R01 HG008164
National Institutes of Health
Grant: 5R21CA246358-03
High-resolution spatial transcriptomics through light patterning
National Institutes of Health
Grant: 5R01HG008164-03
Algorithms and Software for Provably Accurate De Novo RNA-Seq Assembly
National Science Foundation
Grant: 1703403
CIF:Medium:Collaborative Research:An Information-theoretic approach to nanopore sequencing
National Institutes of Health
Grant: 5R01HG009892-03
A predictive model of mRNA stability and translation for variant interpretation and mRNA therapeutics
FWCI
0.63
Citation Percentile
0.7%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals