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Entropy Analysis of the Genetic Sequence of Six Species

dc.contributor.authorTenreiro Machado, J. A.
dc.date.accessioned2019-04-12T15:17:38Z
dc.date.embargo2112
dc.date.issued2012-08
dc.description.abstractThis paper studies the genetic sequence of six species and describes a formulation of quantifying scheme inspired in the state space representation. The information of each chromosome is translated into a two dimensional plot and converted into an histogram. The information is then analysed by two methods, namely with Shannon entropy and mutual information, or the Jensen-Shannon divergence and map visualization using multidimensional scaling. Some similarity of the information content shows that scale is relevant. Therefore, the consideration of each chromosome length helps in getting a more clear picture of the species characteristics.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/NSC.2012.6304742pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/13565
dc.language.isoengpt_PT
dc.publisherInstitute of Electrical and Electronics Engineerspt_PT
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/6304742pt_PT
dc.subjectBiology computingpt_PT
dc.subjectCellular biophysicspt_PT
dc.subjectDNApt_PT
dc.subjectEntropypt_PT
dc.subjectGeneticspt_PT
dc.subjectMolecular biophysicspt_PT
dc.titleEntropy Analysis of the Genetic Sequence of Six Speciespt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceBudapest, Hungarypt_PT
oaire.citation.endPage136pt_PT
oaire.citation.startPage131pt_PT
oaire.citation.titleIEEE 4th International Conference on Nonlinear Science and Complexitypt_PT
person.familyNameTenreiro Machado
person.givenNameJ. A.
person.identifier.ciencia-id7A18-4935-5B29
person.identifier.orcid0000-0003-4274-4879
person.identifier.ridM-2173-2013
person.identifier.scopus-author-id55989030100
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication82cd5c17-07b6-492b-b3e3-ecebdad1254f
relation.isAuthorOfPublication.latestForDiscovery82cd5c17-07b6-492b-b3e3-ecebdad1254f

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