Name
Abstract | ||
|---|---|---|
The immune system is a large and complex system still incompletely understood. The synergy of biological knowledge included in data bases, mathematical and computational models and bioinformatics tools can help in gain a deeper understanding. In this paper, we try to understand how one can characterize a mouse in order to find the better vaccination protocol against mammary carcinoma for that individual. This study will be expanded in the framework of ImmunoGrid EC project. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-73400-0_79 | WILF |
Keywords | Field | DocType |
bioinformatics tool,data base,immune system,immunogrid ec project,complex system,triplex vaccine,mammary carcinoma,deeper understanding,vaccination protocol,computational model,personalized schedule,biological knowledge | Computer science,Vaccination,Vaccination schedule,Computational model,Artificial intelligence,Machine learning | Conference |
Volume | ISSN | Citations |
4578 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 4 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Francesco Pappalardo | 1 | 189 | 28.53 |
| Santo Motta | 2 | 202 | 29.74 |
| Pier Luigi Lollini | 3 | 0 | 0.34 |
| Emilio Mastriani | 4 | 1 | 1.38 |
| Marzio Pennisi | 5 | 109 | 23.03 |