We have designed and realised a knowledge base for collecting, elaborating, and extracting analytical results of genomic, proteomic, biochemical, morphological investigations from animal models of cerebral stroke. Data analysis techniques are tailored to make the data available for processing and correlation, in order to increase the predictive value of the preclinical data, to perform biosimulation studies, and to support both academic and industrial research in the area of cerebral stroke therapy. A first statistical analysis of the retrieved information leads to the validation of our animal models and suggests a greater predictive and translational value for parameters related to a specific model.

Preclinical data for cerebral stroke: A Knowledge Base for collecting, processing and analysing biological data derived from animal models of cerebral stroke

ZINI, MARIA FRANCESCA;PISANTI, NADIA;
2013

Abstract

We have designed and realised a knowledge base for collecting, elaborating, and extracting analytical results of genomic, proteomic, biochemical, morphological investigations from animal models of cerebral stroke. Data analysis techniques are tailored to make the data available for processing and correlation, in order to increase the predictive value of the preclinical data, to perform biosimulation studies, and to support both academic and industrial research in the area of cerebral stroke therapy. A first statistical analysis of the retrieved information leads to the validation of our animal models and suggests a greater predictive and translational value for parameters related to a specific model.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11568/475067
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