Super.Complex: A supervised machine learning pipeline for molecular complex detection in protein-interaction networks is a research paper published in PLoS ONE (2021). On theSindex it has a DataRank of 0.958. It has been cited 25 times, with 20 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
0.489
From this paper's citation signal
Citation Network Contribution
0.469
From 16 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 20 citers.
Welch Foundation
Grant: F-1515
National Institutes of Health
Grant: R35 GM122480, R01 HD085901, R21 HD103588
National Institutes of Health
Grant: 5R01HD085901-02
Mapping the CPLANE interactome, an extensive protein interaction network underlying human ciliopathies
National Institutes of Health
Grant: 5R35GM122480-08
Proteomics and model organism humanization to decode human genetics
FWCI
1.41
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of Molecular complex detection in protein interaction networks through reinforcement learning
Additional file 1 of Molecular complex detection in protein interaction networks through reinforcement learning