Biological models: Measuring variability with classical and quantum information

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dc.contributor.authorPiqueira J.R.C.
dc.contributor.authorSerboncini F.A.
dc.contributor.authorMonteiro L.H.A.
dc.date.accessioned2024-03-13T01:42:01Z
dc.date.available2024-03-13T01:42:01Z
dc.date.issued2006
dc.description.abstractThis 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.
dc.description.firstpage309
dc.description.issuenumber2
dc.description.lastpage313
dc.description.volume242
dc.identifier.doi10.1016/j.jtbi.2006.02.019
dc.identifier.issn0022-5193
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/37763
dc.relation.ispartofJournal of Theoretical Biology
dc.rightsAcesso Restrito
dc.subject.otherlanguageEntropy
dc.subject.otherlanguageHilbert space
dc.subject.otherlanguageInformation
dc.subject.otherlanguageNorm
dc.subject.otherlanguageq-bit
dc.subject.otherlanguageState transition matrix
dc.titleBiological models: Measuring variability with classical and quantum information
dc.typeArtigo
local.scopus.citations8
local.scopus.eid2-s2.0-33747485273
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33747485273&origin=inward
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