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.

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.

Towards a personalized schedule with triplex vaccine

PAPPALARDO, FRANCESCO;MOTTA, Santo;PENNISI, MARZIO ALFIO
2007-01-01

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.
9783540733997
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.
Computational methods; Mathematical models
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/76145
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