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

Summarizing and quantifying multilocus linkage disequilibrium patterns with multi-order Markov chain models.

Journal of biopharmaceutical statistics - 1 Mar 2010

Feng Sheng, Wang Shengchu

Abstract excerpt

Studies on linkage disequilibrium (LD) are important in mapping disease genes. A novel statistical method, the multi-order Markov chain model has been recently developed to quantify the complexity level of multilocus LD patterns among single nucleotide polymorphism markers (Kim et al., 2008). In...

Read the complete abstract on PubMed

Topics

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

Share to Chromosomes, Human, Pair 5
Share to Computer Simulation
Share to Data Interpretation, Statistical

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Dopa Decarboxylase

Share to Drosophila

Share to Longevity

Share to Markov Chains

Share to Models, Statistical

Source

Identifiers

PMID: 20309767
DOI: 10.1080/10543400903572837

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026. Prepared record publication-20309767-2026-09-02.2. Manifest publication-graph-cohort-2026-09-02.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 8 closest

Summarizing and quantifying multilocus linkage disequilibrium patterns with multi-order Markov chain models.PMID 20309767Read ↗

Multilocus LD measure and tagging SNP selection with generalized mutual information.Semantic proximity Read ↗

A multilocus linkage disequilibrium measure based on mutual information theory and its applications.Semantic proximity Read ↗

Decomposing multilocus linkage disequilibrium.Semantic proximity Read ↗

A Bayesian multilocus association method: allowing for higher-order interaction in association studies.Semantic proximity Read ↗

An efficiency analysis of high-order combinations of gene-gene interactions using multifactor-dimensionality reduction.Semantic proximity Read ↗

Estimating genome-wide IBD sharing from SNP data via an efficient hidden Markov model of LD with application to gene mapping.Semantic proximity Read ↗

Haplotype inference using a Bayesian Hidden Markov model.Semantic proximity Read ↗

Analysis of association studies and inference of haplotypic phase using hidden Markov modelsSemantic proximity Read ↗

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