Biological models: Measuring variability with classical and quantum information
Tipo
Artigo
Data de publicação
2006
Periódico
Journal of Theoretical Biology
Citações (Scopus)
8
Autores
Piqueira J.R.C.
Serboncini F.A.
Monteiro L.H.A.
Serboncini F.A.
Monteiro L.H.A.
Orientador
Título da Revista
ISSN da Revista
Título de Volume
Membros da banca
Programa
Resumo
This essay proposes methods to analyse the variability of biological data. The idea is to express the state of a biological system as a linear combination of base states in a Hilbert space. Coefficients of the linear combination can be interpreted as probabilities and informational entropy is associated to each state allowing the definition of a classical variability measure. Besides, state transition matrices can also be calculated and their norms express the dynamics of the system organization and a quantum variability measure. As the examples show, the classical measure expresses a structural variability and the quantum measure expresses a functional variability. © 2006 Elsevier Ltd. All rights reserved.