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  Total Views
 102

  Access Source
    internal: 14
    External: 88
    Domestic: 83
    Abroad: 19

  Annual Views
 91

  Access Source
    internal: 4
    External: 87
    Domestic: 72
    Abroad: 19

  Monthly Views
 22

  Access Source
    internal: 0
    External: 22
    Domestic: 18
    Abroad: 4

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1. A novel approach based on KATZ measure to predict associations of .. [152]
2. Highly Accurate Prediction of Protein-Protein Interactions via Inc.. [106]
3. Distributed Winner-Take-All in Dynamic Networks [104]
4. Identification of self-interacting proteins by exploring evolution.. [97]
5. Construction of reliable protein-protein interaction networks usin.. [92]
6. PCLPred: A Bioinformatics Method for Predicting Protein-Protein In.. [82]
7. PBMDA: A novel and effective path-based computational model for mi.. [80]
8. PBHMDA: Path-Based Human Microbe-Disease Association Prediction [74]
9. Highly Efficient Framework for Predicting Interactions Between Pro.. [69]
10. MCMDA: Matrix completion for MiRNA-disease association prediction [66]
11. An ensemble approach for large-scale identification of protein-pro.. [65]
12. Accurate prediction of protein-protein interactions by integrating.. [62]
13. BNPMDA: Bipartite Network Projection for MiRNA-Disease Association.. [56]
14. Predicting protein-protein interactions from protein sequences by .. [55]
15. Advancing the prediction accuracy of protein-protein interactions .. [52]
16. A novel computational model based on super-disease and miRNA for p.. [48]
17. PSPEL: In Silico Prediction of Self-Interacting Proteins from Amin.. [47]
18. DRMDA: deep representations-based miRNA-disease association predic.. [45]
19. Improving Prediction of Self-interacting Proteins Using Stacked Sp.. [44]
20. Long non-coding RNAs and complex diseases: from experimental resul.. [44]
21. DroidDet: Effective and robust detection of android malware using .. [43]
22. Improved Prediction of Protein-Protein Interactions Using Descript.. [42]
23. An Ensemble Classifier with Random Projection for Predicting Prote.. [41]
24. A Computational-Based Method for Predicting Drug-Target Interactio.. [40]
25. Using Two-dimensional Principal Component Analysis and Rotation Fo.. [36]
26. Prediction of Drug-Target Interaction Networks from the Integratio.. [35]
27. Constructing prediction models from expression profiles for large .. [35]
28. A Deep Learning Framework for Robust and Accurate Prediction of nc.. [35]
29. Prediction of protein-protein interactions by label propagation wi.. [31]
30. In silico prediction of drug-target interaction networks based on .. [30]
31. Sequence-based Prediction of Protein-Protein Interactions Using Gr.. [30]
32. Detection of Interactions between Proteins by Using Legendre Momen.. [29]
33. Protein-Protein Interactions Prediction via Multimodal Deep Polyno.. [28]
34. EPMDA: an expression-profile based computational model for microRN.. [27]
35. Age Is Important for the Early-Stage Detection of Breast Cancer on.. [27]
36. Improved protein-protein interactions prediction via weighted spar.. [26]
37. LMTRDA: Using logistic model tree to predict MiRNA-disease associa.. [26]
38. In Silico Prediction of Small Molecule-miRNA Associations Based on.. [25]
39. Robust and accurate prediction of protein self-interactions from a.. [24]
40. RFDT: A Rotation Forest-based Predictor for Predicting Drug-Target.. [24]
41. NRDTD: a database for clinically or experimentally supported non-c.. [23]
42. A Systematic Prediction of Drug-Target Interactions Using Molecula.. [23]
43. CIPPN: computational identification of protein pupylation sites by.. [23]
44. Accurate Prediction of ncRNA-Protein Interactions From the Integra.. [23]
45. An improved efficient rotation forest algorithm to predict the int.. [21]
46. A High Efficient Biological Language Model for Predicting Protein-.. [21]
47. Prediction of Self-Interacting Proteins from Protein Sequence Info.. [17]
48. HEMD: a highly efficient random forest-based malware detection fra.. [17]