Deep learning on graphs for multi-omics classification of copd

HIGHLIGHTS

  • who: Yonghua Zhuang and collaborators from the Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO have published the paper: Deep learning on graphs for multi-omics classification of COPD, in the Journal: PLOS ONE of November/18,/2022
  • what: The project described was supported by Award Number U01 HL089897 and Award Number U01 HL089856 from the National Heart Lung and Blood Institute. The authors report a novel implementation of spectral-based ConvGNN for COPD classification: integrating multi-omics data (proteomics or transcriptomics) and disease-specific protein/genetic interaction graph information . . .

     

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