Integration of human protein sequence and protein-protein interaction data by graph autoencoder to identify novel protein-abnormal phenotype associations

HIGHLIGHTS

• who: Yuan Liu and collaborators from the State Key Laboratory of Proteomics, Proteome Research Center, National Center for (Beijing), Institute of Lifeomics, China College of Life, Hebei University, Baoding, China have published the research work: Integration of Human Protein Sequence and Protein-Protein Interaction Data by Graph Autoencoder to Identify Novel Protein-Abnormal Phenotype Associations, in the Journal: Cells 2022, 11, x FOR PEER REVIEW of 10/08/2022
• what: The performance of the model was compared with existing classifiers, and results prove that the model has equivalent performance with other state-of-the-art . . .
  

   

  

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