A hybrid deep clustering approach for robust cell type profiling using single-cell RNA-seq data is a research paper published in RNA (2020). On theSindex it has a DataRank of 0. It has been cited 21 times.
Scored on demand from live citation data
Linked data & code
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, National Library of Medicine
Grant: LM012772
the National Science Foundation
Grant: 1458267
ABI Innovation: Discovering Elements of Extreme and High Conservation in Eukaryotic Genomes
NLM NIH HHS
Grant: R21 LM012772
National Institutes of Health
Grant: 5R21LM012772-02
Functional characterization of genetic and post-transcriptional variation using machine learning methods
FWCI
1.12
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals