Compression of quantification uncertainty for scRNA-seq counts is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2020). On theSindex it has a DataRank of 0. 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.
National Institutes of Health
Grant: 5R01HG009937-02
A Modular Framework for Accurate, Efficient, and Reproducible Analysis of RNA-Seq Data
National Science Foundation
Grant: 1750472
CAREER: A Comprehensive and Lightweight Framework for Transcriptome Analysis
National Institutes of Health
Grant: 5P50CA058223-12
SPORE in Breast Cancer
National Science Foundation
Grant: 1763680
CSR: Medium: Approximate Membership Query Data Structures in Computational Biology and Storage
National Institutes of Health
Grant: 3P30CA016086-42S2
Cancer Center Support Grant
Fields of Study
Keywords