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dc.contributor.authorVaerenbergh, Steven van 
dc.contributor.authorVielva Martínez, Luis Antonio 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2013-10-01T13:19:38Z
dc.date.available2013-10-01T13:19:38Z
dc.date.issued2003-09
dc.identifier.urihttp://hdl.handle.net/10902/3478
dc.description.abstractThis article comments on an ongoing investigation, the prediction of RNA secondary structure using stochastic methods, in particular stochastic context-free grammars. While the investigation in this field has already made a lot of progress and is currently refining and improving its methods, this article is meant to provide an introduction to this subject for researchers in the digital signal processing area. After situating the problem in its biological context, we explain the basics of transformational grammars, which are used to model the RNA secondary structure. Then we present the three basic problems for these structures, and explain the three main algorithms to solve them, relating these to the analogous algorithms for hidden Markov models.es_ES
dc.format.extent4 p.es_ES
dc.language.isospaes_ES
dc.rights© 2003 URSI Españaes_ES
dc.sourceURSI 2003, XVIII Simposium Nacional de la Unión Científica Internacional de Radio, La Coruñaes_ES
dc.titleUna introducción a la predicción de la estructura secundaria del RNA mediante métodos estocásticoses_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.rights.accessRightsopenAccesses_ES
dc.type.versionpublishedVersiones_ES


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