Name
Abstract | ||
|---|---|---|
Substantial advances in predictive, preventive and personalized (PPP) medicine are starting to emerge from computational simulations of complex networked models of metabolism ranging to the molecular level of detail. From the systems biology perspective of the digital patient, diseases are perturbations of biological networks through defective genes or environmental stimuli, and therapies are the interventions needed to restore these networks to their normal states. The Bioinformatics group at FORTH Heraklion is developing novel computational methods for identifying new parts of these networks both from genomic sequences and from metabolite time-series, and to generate meaningful visualizations of them. |
Year | Venue | Keywords |
|---|---|---|
2007 | ERCIM NEWS | system biology |
Field | DocType | Volume |
Data science,Computer science,Computer security,Systems medicine,Systems biology,Computational biology | Journal | 2007 |
Issue | ISSN | Citations |
69 | 0926-4981 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| M Reczko | 1 | 494 | 47.64 |
| Panayiota Poirazi | 2 | 64 | 10.37 |
| Anastasis Oulas | 3 | 8 | 2.56 |
| Eleftheria Tzamali | 4 | 12 | 2.65 |
| Maria Manioudaki | 5 | 0 | 0.68 |
| Vassilis Tsiaras | 6 | 27 | 6.75 |
| Ioannis G. Tollis | 7 | 1240 | 162.75 |