Genome Clustering From Linguistic Models to Classification of Genetic Texts /

The study of language texts at the level of formal non-semantic models has a long history. Suffice it to say that the well-known Markov chains were first introduced as one of such models. The representation of biological data as text and, consequently, applications of text-analysis models in the fie...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Bolshoy, Alexander (Autor), Volkovich, Zeev (Autor), Kirzhner, Valery (Autor), Barzily, Zeev (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Studies in Computational Intelligence, 286
Temas:
Computer-aided engineering.
Artificial intelligence.
Engineering mathematics.
Engineering-Data processing.
Computer-Aided Engineering (CAD, CAE) and Design.
Artificial Intelligence.
Mathematical and Computational Engineering Applications.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Biological Background
  • Biological Classification
  • Mathematical Models for the Analysis of Natural-Language Documents
  • DNA Texts
  • N-Gram Spectra of the DNA Text
  • Application of Compositional Spectra to DNA Sequences
  • Marker-Function Profile-Based Clustering
  • Genome as a Bag of Genes - The Whole-Genome Phylogenetics.

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