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...

Full description

Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Bolshoy, Alexander (Author), Volkovich, Zeev (Author), Kirzhner, Valery (Author), Barzily, Zeev (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edition:1st ed. 2010.
Series:Studies in Computational Intelligence, 286
Subjects:
Computer-aided engineering.
Artificial intelligence.
Engineering mathematics.
Engineering-Data processing.
Computer-Aided Engineering (CAD, CAE) and Design.
Artificial Intelligence.
Mathematical and Computational Engineering Applications.
Online Access:Texto Completo
Table of Contents:
  • 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.

Similar Items