Global Markov models for eukaryote nucleotide data
type: Item
instance of: scholarly article
title: Global Markov models for eukaryote nucleotide data
zbMATH Open document ID: 1089.92016
author: Gordon Simons
author: Yi-Ching Yao
author: Glenn Morton
published in: Journal of Statistical Planning and Inference
publication date: 2005-02-22T00:00:00Z
Mathematics Subject Classification ID: 92C40
Mathematics Subject Classification ID: 60J20
zbMATH DE Number: 2136314
zbMATH Keywords: Eukaryotes
zbMATH Keywords: Gene orientation
zbMATH Keywords: Statistical model
zbMATH Keywords: Markov chain
zbMATH Keywords: Parameters
zbMATH Keywords: Similarity
zbMATH Keywords: Reversibility
zbMATH Keywords: Symmetry
zbMATH Keywords: Persymmetry
zbMATH Keywords: tables
MaRDI profile type: Publication
full work available at URL: j.jspi.2003.11.016
OpenAlex ID: W2077385626
cites work: The gene-orientation structure of eukaryotes
DOI: 10.1016/J.JSPI.2003.11.016
Recommended article: Nucleotide sequences versus Markov models
Recommended article: A MARKOVIAN APPROACH FOR THE ANALYSIS OF THE GENE STRUCTURE
Recommended article: Fitting Markov Chain Models to Discrete State Series such as DNA Sequences
Recommended article: Q4616020
Recommended article: Validation and Discovery in Markov Models of Genetics Data
Recommended article: Hidden Markov models for bioinformatics
Recommended article: Hidden Markov chains and the analysis of genome structure
description: scientific article; zbMATH DE number 2136314