Disease drug prediction method based on heterogeneous network embedding model
A heterogeneous network and prediction method technology, applied in drug reference, genomics, bioinformatics, etc., to achieve the effect of reducing research and development costs
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[0064] The specific embodiments of the present invention will be described in detail below in connection with the technical solutions and drawings.
[0065] There is a 141,460 protein interactions between 141,296 proteins and proteins, 299 diseases, and WWAS gene data, 238 drugs from DrugBank and corresponding target data, 403 diseases. And the relationship between the drug.
[0066] Such as figure 1 As shown, a disease drug prediction method based on heterogeneous networks, including data acquisition modules, data pretreatment modules, path design modules, model training modules, result evaluation modules, as follows:
[0067] (1) The data acquisition module includes:
[0068] (1-1) Diseases and Drugs Interaction Data: The drug data collected has corresponding therapeutic effects for the disease involved, which will be used as a test set to verify the interaction between the predicted diseases and drugs. Prediction effect;
[0069] (1-2) Protein and protein interaction data: in the...
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