Imputation of single‐cell gene expression with an autoencoder neural network is a research paper published in Quantitative Biology (2020). On theSindex it has a DataRank of 0. It has been cited 60 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: R00HG007368
NIGMS NIH HHS
Grant: P20 GM104420
National Institutes of Health
Grant: 2P20GM104420-06A1
Center for Modeling Complex Interactions
National Institutes of Health
Grant: 5R00HG007368-03
Causal inference of gene regulatory networks with application to breast cancer
National Human Genome Research Institute
National Cancer Institute
National Institute of Development Administration
National Heart, Lung, and Blood Institute
National Institute of Neurological Disorders and Stroke
National Institute of Mental Health
FWCI
3.44
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Additional file 1 of Analysis of single-cell RNA sequencing data based on autoencoders
Additional file 1 of Analysis of single-cell RNA sequencing data based on autoencoders