All Stories

  1. STNMDA: A Novel Model for Predicting Potential Microbe-Drug Associations with Structure-Aware Transformer
  2. Graph Convolutional Neural Network with Multi-Layer Attention Mechanism for Predicting Potential Microbe-Disease Associations
  3. An Iterative Model for Identifying Essential Proteins Based on the Whole Process Network of Protein Evolution
  4. Method for Essential Protein Prediction Based on the Naïve Bayesian Classifier and Bioinformation Fusion
  5. A Cross-entropy-based Method for Essential Protein Identification in Yeast Protein-protein Interaction Network
  6. A Novel Method for Predicting Disease-Associated LncRNA-MiRNA Pairs Based on the Higher-Order Orthogonal Iteration
  7. A Novel Method for LncRNA-Disease Association Prediction Based on an lncRNA-Disease Association Network
  8. A Novel Neighborhood-Based Computational Model for Potential MiRNA-Disease Association Prediction
  9. A Novel Approach based on Point Cut Set to Predict Associations of Diseases and LncRNAs
  10. A Novel Approach for Predicting Disease-lncRNA Associations Based on the Distance Correlation Set and Information of the miRNAs
  11. A Novel Approach based on Bipartite Network to Predict Human Microbe-Disease Associations
  12. A Novel Model for Predicting Associations between Diseases and LncRNA-miRNA Pairs Based on a Newly Constructed Bipartite Network