Identification of type 2 diabetes- and obesity-associated human β-cells using deep transfer learning is a research paper published in eLife (2024). On theSindex it has a DataRank of 0.111. It has been cited 1 time, with 1 citing works in its 1-hop citation network.
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?
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Base Score Contribution
0.104
From this paper's citation signal
Citation Network Contribution
7.36 × 10⁻³
From 1 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 1 citer.
NIH HHS
Grant: 1R01GM148970
NIH HHS
Grant: 1R21CA264339
NCI NIH HHS
Grant: R21 CA264339
NIGMS NIH HHS
Grant: R01 GM148970
National Institutes of Health
Grant: 5R01GM148970-03
DMS/NIGMS 1: Topological Study on Histological Images and Spatial Transcriptomics
National Institutes of Health
Grant: 5R21CA264339-02
A deep-transfer-learning framework to transfer clinical information to single cells and spatial locations in cancer tissues
MeSH Terms
Keywords
Sustainable Development Goals