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...
Enregistré dans:
| Auteurs principaux: | , , , |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2010.
Cham : Springer Nature |
| Collection: | Studies in Computational Intelligence
286 |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Genome Clustering, Texte imprimé, 9783642129513 • Genome Clustering, Texte imprimé, 9783642263408 • Genome Clustering, Texte imprimé, 9783642129537 |
Table des matières:
- 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.