TranSynergy: Mechanism-driven interpretable deep neural network for the synergistic prediction and pathway deconvolution of drug combinations is a research paper published in PLoS Computational Biology (2021). On theSindex it has a DataRank of 5.7. It has been cited 212 times, with 190 citing works in its 1-hop citation network.
Scored on demand from live citation data
Linked data & code
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Base Score Contribution
0.804
From this paper's citation signal
Citation Network Contribution
4.9
From 137 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 190 citers.
National Institute of General Medical Sciences
Grant: R01GM122845
National Institute on Aging
Grant: R01AD057555
NIA NIH HHS
Grant: R01 AG057555
CUNY High Performance Computing Center
FWCI
19.94
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
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Additional file 1 of piscesCSM: prediction of anticancer synergistic drug combinations
Additional file 1 of piscesCSM: prediction of anticancer synergistic drug combinations
Additional file 1 of Predicting anticancer synergistic drug combinations based on multi-task learning
Additional file 2 of piscesCSM: prediction of anticancer synergistic drug combinations
Additional file 4 of piscesCSM: prediction of anticancer synergistic drug combinations
Additional file 4 of piscesCSM: prediction of anticancer synergistic drug combinations
Additional file 3 of piscesCSM: prediction of anticancer synergistic drug combinations
Additional file 2 of piscesCSM: prediction of anticancer synergistic drug combinations
Additional file 3 of piscesCSM: prediction of anticancer synergistic drug combinations
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Additional file 4 of Artificial intelligence-driven new drug discovery targeting serine/threonine kinase 33 for cancer treatment
Additional file 5 of Artificial intelligence-driven new drug discovery targeting serine/threonine kinase 33 for cancer treatment
Additional file 1 of Artificial intelligence-driven new drug discovery targeting serine/threonine kinase 33 for cancer treatment
Additional file 2 of Artificial intelligence-driven new drug discovery targeting serine/threonine kinase 33 for cancer treatment
Additional file 3 of Artificial intelligence-driven new drug discovery targeting serine/threonine kinase 33 for cancer treatment
Additional file 4 of Artificial intelligence-driven new drug discovery targeting serine/threonine kinase 33 for cancer treatment