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.
| Original language | English |
|---|---|
| Title of host publication | Applications of Fuzzy Sets Theory - 7th International Workshop on Fuzzy Logic and Applications, WILF 2007, Proceedings |
| Publisher | Springer Verlag |
| Pages | 620-626 |
| Number of pages | 7 |
| ISBN (Print) | 9783540733997 |
| DOIs | |
| Publication status | Published - 2007 |
| Externally published | Yes |
| Event | 7th International Workshop on Fuzzy Logic and Applications, WILF 2007 - Camogli, Italy Duration: 7 Jul 2007 → 10 Jul 2007 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 4578 LNAI |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 7th International Workshop on Fuzzy Logic and Applications, WILF 2007 |
|---|---|
| Country/Territory | Italy |
| City | Camogli |
| Period | 7/07/07 → 10/07/07 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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