Effective methods for bulk RNA-Seq deconvolution using scnRNA-Seq transcriptomes is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2022). On theSindex it has a DataRank of 0.165. It has been cited 2 times.
Scored on demand from live citation data
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
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 Institutes of Health
Grant: 5P30EY002520-40
P30 - Core Grant for Vision Research
European Commission
Grant: 826121
individualizedPaediatricCure: Cloud-based virtual-patient models for precision paediatric oncology
National Institutes of Health
Grant: 1S10OD023469-01
High Throughput Genomic Sequencer at BCM Core Facility
National Institutes of Health
Grant: 5R21CA286257-02
Discovery of chemoresistant tumor subclones in pediatric liver cancers
National Institutes of Health
Grant: 5R21CA223140-02
Diagnostic biomarkers for hepatoblastomas with hepatocellular carcinoma features
National Institutes of Health
Grant: 1S10OD025240-01
Acquisition of 10X Genomics Chromium Instrument to Accelerate Genomic and Single Cell Transcriptomic Research
National Institutes of Health
Grant: 1S10OD018033-01
Acquisition of the Fluidigm system to accelerate functional genomics research
Fields of Study
Keywords
Sustainable Development Goals