G2S3: A gene graph-based imputation method for single-cell RNA sequencing data is a research paper published in PLoS Computational Biology (2021). On theSindex it has a DataRank of 0. It has been cited 15 times.
Scored on demand from live citation data
Linked data & code
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: K01AA023321
National Science Foundation
Grant: DMS1916246
National Institutes of Health
Grant: R21LM012884
National Science Foundation
Grant: 1916246
Collaborative Research: Stochastic Models for Gene-based Association Analysis of Longitudinal Phenotypes with Sequence Data
National Institutes of Health
Grant: 1R21LM012884-01
Deep and Integrative Analysis of RNA Sequencing Data to Identify Pathogenesis Heterogeneity of Chronic Lung Disease
National Institutes of Health
Grant: 5K01AA023321-02
Novel Methods for Longitudinal Study of Gene-Environment Interplay in Alcoholism
Fields of Study
MeSH Terms
Keywords