Deep learning models predicting gene functions and pathways using public DRKG knowledge graph and graph neural network
Zinovyev, Andrei; Henning, Holger; Monsees, Arne; Valiya Veettil, Rahul; G. Charles, William; James, Tim; Carpenter, Anne; +1 Authors
Zinovyev, Andrei; Henning, Holger; Monsees, Arne; Valiya Veettil, Rahul; G. Charles, William; James, Tim; Carpenter, Anne; Shantanu, Singh;
Deep learning models predicting gene functions and pathways using public DRKG knowledge graph and graph neural network
The attached dataset contains pretrained link prediction models, as described in our paper 'Morphological Map of Under- and Over-Expression of Genes in Human Cells'.
- Massachusetts Institute of Technology United States
- Evotec (Germany) Germany
- Broad Institute United States
Variational graph autoencoder, gene-gene similarity prediction, Link prediction, gene-function prediction, Cell painting, Biomedical knowledge graphs, Graph neural network
Variational graph autoencoder, gene-gene similarity prediction, Link prediction, gene-function prediction, Cell painting, Biomedical knowledge graphs, Graph neural network
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selected citations
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These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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