Extracting a Biologically Relevant Latent Space from Cancer Transcriptomes with Variational Autoencoders is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2017). On theSindex it has a DataRank of 5.0. It has been cited 103 times, with 97 citing works in its 1-hop citation network.
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
0.697
From this paper's citation signal
Citation Network Contribution
4.3
From 87 citing papers with measurable signal
National Institutes of Health
Grant: 3T32HG000046-15S1
Training Grant in Computational Genomics
National Institutes of Health
Grant: 7R01CA200854-02
Characterizing Molecular Subtypes of Ovarian Cancer in African-American Women
Fields of Study
Keywords
Sustainable Development Goals