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

A disequilibrium model for detecting genetic mutations for cancer.

Journal of theoretical biology - 7 Aug 2010

Li Yao, Ma Changxing, Wang Zhong, Chen Gang, Ahn Kwangmi, Lazarus Philip, Wu Rongling

Abstract excerpt

It has been recognized that genetic mutations in specific nucleotides may give rise to cancer via the alteration of signaling pathways. Thus, the detection of those cancer-causing mutations has received considerable interest in cancer genetic research. Here, we propose a statistical model for characterizing genes that lead to cancer through point mutations using genome-wide single nucleotide polymorphism (SNP)...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Computer Simulation
Share to Likelihood Functions

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Linkage Disequilibrium

Share to Models, Genetic

Share to Neoplasms

Share to Point Mutation

Share to Signal Transduction

Source

Identifiers

PMID: 20450921
DOI: 10.1016/j.jtbi.2010.04.019

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A disequilibrium model for detecting genetic mutations for cancer.PMID 20450921Read ↗

Estimating the number of genetic mutations (hits) required for carcinogenesis based on the distribution of somatic mutationsSemantic proximity Read ↗

A site specific model and analysis of the neutral somatic mutation rate in whole-genome cancer dataSemantic proximity Read ↗

Gene-based Hardy–Weinberg equilibrium test using genotype count data identifies novel cancer-related genesSemantic proximity Read ↗

Linkage disequilibrium between single nucleotide polymorphisms and hypermutable lociSemantic proximity Read ↗

A Statistical Framework for Evolutionary Analysis of Recurrent Somatic Mutations in CancersSemantic proximity Read ↗

Identification of quantitative trait nucleotides that regulate cancer growth: a simulation approach.Semantic proximity Read ↗

Likelihood models of somatic mutation and codon substitution in cancer genes.Semantic proximity Read ↗

DrGaP: a powerful tool for identifying driver genes and pathways in cancer sequencing studies.Semantic proximity Read ↗

Defining relative mutational difficulty to understand cancer formation and preventionSemantic proximity Read ↗

Alu distribution and mutation types of cancer genes.Semantic proximity Read ↗

Associating somatic mutation with clinical outcomes through kernel regression and optimal transport.Semantic proximity Read ↗

A Novel Machine Learning Method for Mutational Analysis to Identifying Driver Genes in Breast CancerSemantic proximity Read ↗

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