Claudio Angione

Keyphrases

1. Genome-scale Metabolic Model 100%
2. Machine Learning 81%
3. Metabolism 77%
4. Omics Data 76%
5. Multi-omics 63%
6. Metabolic Modeling 59%
7. Flux Balance Analysis 55%
8. Metabolic Model 49%
9. Transcriptomics 41%
10. Machine Learning Techniques 37%
11. Metabolic 36%
12. Multi-objective Optimization 33%
13. Genome-scale Model 32%
14. Polyomics 31%
15. Constraint-based Modeling 30%
16. Omics 29%
17. Growth Conditions 29%
18. Metabolic Network 28%
19. Sensitivity Analysis 26%
20. Metabolic Response 24%
21. Energy Production 24%
22. Escherichia Coli 23%
23. Gene Expression 23%
24. Environmental Conditions 22%
25. Computational Framework 21%
26. Metabolic Adaptation 21%
27. Codon Usage 21%
28. Identifiability Analysis 21%
29. Systems Biology 21%
30. Cyanobacteria 21%
31. Cancer Metabolism 21%
32. Clinical Data 21%
33. Octodon Degus 21%
34. Pareto Optimality 19%
35. Machine Learning Models 18%
36. Aging 18%
37. Genome-scale 17%
38. In Silico 17%
39. Artificial Intelligence 17%
40. Omics Data Integration 17%
41. Genetic Design 17%
42. Robustness Analysis 16%
43. Omics Approaches 16%
44. Multi-objective Optimization Algorithm 16%
45. Agent-based Modeling 16%
46. Multi-omic Network 16%
47. Fluxomics 16%
48. Cancer Progression 16%
49. Transcriptomic Data 15%
50. Gene Expression Profile 15%