DRPADC A novel drug repositioning algorithm predicting adaptive drugs for COVID 19

• ABSTRACT
  • A method named DRPADC to predict novel drug-disease associations effectively from the original sparse drug-disease association adjacency matrix
  • DRPADC has superior performance than several competitive methods in terms of AUC values and case studies.

• Limitations/Future Scope

  • DRPADC does not completely circumvent the effects of association sparsity.

• Contains reference to Drug repositioning based on bounded nuclear norm regularization