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Identify Diabetes-related Targets based on ForgeNet_GPC.

Bin YangLinlin WangWenzheng Bao
Published in: Current computer-aided drug design (2024)
In forgeNet_GPC, forgeNet is utilized to select the important features, and GPC is utilized to solve the classification problem. The experimental results reveal that forgeNet_GPC performs better than 22 classifiers in terms of ROC-AUC, PR-AUC, MCC, Youden Index, and Kappa.
Keyphrases
  • type diabetes
  • cardiovascular disease
  • machine learning
  • deep learning
  • nuclear factor
  • genome wide
  • gene expression
  • inflammatory response
  • dna methylation
  • skeletal muscle
  • drug induced