Yihan Zhang

Keyphrases

1. Single-cell Transcriptomics 100%
2. Peripheral Blood Mononuclear Cells 96%
3. Cell-derived 60%
4. Cell-to-cell 48%
5. Cell Sorting 37%
6. Gene Expression 36%
7. PBMC Cells 35%
8. Reference Profiles 30%
9. Cell Label 30%
10. Gene Expression Profile Analysis 30%
11. Single-cell Data 30%
12. Cell Type Classification 30%
13. Network Profile 30%
14. Gene Markers 30%
15. Protein Markers 30%
16. Gene Expression Profile 30%
17. Single-cell RNA Sequencing (scRNA-seq) 30%
18. Transcriptomic Data 30%
19. MRNA Expression 30%
20. Cell Classification 30%
21. Artificial Neural Network 30%
22. Infrared-visible Image Fusion 30%
23. Hybrid Recommenders 30%
24. Single-cell Gene Expression 28%
25. Pattern Recognition 24%
26. RNA Markers 24%
27. Processing Stages 20%
28. Specimen Preparation 20%
29. Analysis Function 15%
30. Profile Characteristics 15%
31. Analysis of Similarity (ANOSIM) 15%
32. Healthy Sample 15%
33. Parallel Programming 15%
34. Gene Expression Matrix 15%
35. Cell Enrichment 15%
36. Profile Comparison 15%
37. Minimally Processed 15%
38. Matrix Analysis 15%
39. Heat Map 15%
40. Differential Gene Expression Analysis 15%
41. Functional Modules 15%
42. Efficiency Improvement 15%
43. Processing Conditions 15%
44. Automated System 15%
45. Sparse Matrices 15%
46. Feature Extraction 15%
47. Methanol 15%
48. Hierarchical Clustering 15%
49. Monocytes 12%
50. Natural Killer Cells 12%