Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Quantitative trait nucleotide analysis using Bayesian model selection. 2005.

Human biology - 1 Dec 2009

Blangero John, Göring Harald H H, Kent Jack W, Williams Jeff T, Peterson Charles P, Almasy Laura, Dyer Thomas D

Abstract excerpt

No abstract is available from the source.

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Algorithms
Share to Bayes Theorem
Share to Databases, Genetic
Share to Genetic Markers

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to History, 21st Century

Share to Linkage Disequilibrium

Share to Quantitative Trait Loci

Share to Regression Analysis

Source

Identifiers

PMID: 20504200
DOI: 10.3378/027.081.0625

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Quantitative trait nucleotide analysis using Bayesian model selection. 2005.PMID 20504200Read ↗

Quantitative trait nucleotide analysis using Bayesian model selection.Semantic proximity Read ↗

A Bayesian framework for SNP identification.Semantic proximity Read ↗

Bayesian phylogenetics with BEAUti and the BEAST 1.7.Semantic proximity Read ↗

Maximum likelihood and Bayesian methods for estimating the distribution of selective effects among classes of mutations using DNA polymorphism data.Semantic proximity Read ↗

Analysis of nucleotide sequence data using mixed model methodology.Semantic proximity Read ↗

Amount of information needed for model choice in Approximate Bayesian Computation.Semantic proximity Read ↗

Back to basics for Bayesian model building in genomic selection.Semantic proximity Read ↗

Genome-wide heterogeneity of nucleotide substitution model fit.Semantic proximity Read ↗

Improved variance estimators for one- and two-parameter models of nucleotide substitution.Semantic proximity Read ↗

Bayesian phylogenetic model selection using reversible jump Markov chain Monte Carlo.Semantic proximity Read ↗

Easy and flexible Bayesian inference of quantitative genetic parameters.Semantic proximity Read ↗

Markov-modulated Markov chains and the covarion process of molecular evolution.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.