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Biological models: measuring variability with classical and quantum information.

J R C Piqueira·F A Serboncini·L H A Monteiro
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Abstract

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.

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Computational BiologyEntropyInformation TheoryModels, BiologicalQuantum TheorySystems TheoryJournal ArticleResearch Support, Non-U.S. Gov't

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J R C Piqueira, F A Serboncini, L H A Monteiro. 2006-04-17. Biological models: measuring variability with classical and quantum information.. https://doi.org/10.1016/j.jtbi.2006.02.019

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