Interpretable deep learning uncovers cellular properties in label-free live cell images that are predictive of highly metastatic melanoma is a research paper published in Cell Systems (2021). On theSindex it has a DataRank of 0. It has been cited 99 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: K25CA204526
National Institutes of Health
Grant: R35GM126428
Cancer Prevention and Research Institute of Texas
Grant: R160622
NIGMS NIH HHS
Grant: R01 GM067230
NIGMS NIH HHS
Grant: R35 GM136428
Council for Higher Education
Division of Chemistry
Ben-Gurion University of the Negev
FWCI
15.18
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords