Reverse Engineering can be considered as a process from which is possible inferring structural and dynamics features of a given system from external observations and relevant knowledge. RE techniques play a central role in systems biology, since it is not only important a knowledge of genes and proteins, but also to understand their structures and dynamics. RE works for inferring genetic networks are based on evolutionary algorithms, because they are applicable where mathematical analysis fail.

Parameters Optimization in S-System Models using Population-based Reverse Engineering Methods

PAVONE, MARIO FRANCESCO
2011-01-01

Abstract

Reverse Engineering can be considered as a process from which is possible inferring structural and dynamics features of a given system from external observations and relevant knowledge. RE techniques play a central role in systems biology, since it is not only important a knowledge of genes and proteins, but also to understand their structures and dynamics. RE works for inferring genetic networks are based on evolutionary algorithms, because they are applicable where mathematical analysis fail.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/106252
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