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

Estimation of haplotype associated with several quantitative phenotypes based on maximization of area under a receiver operating characteristic (ROC) curve.

Journal of human genetics - 1 Jan 2006

Kamitsuji Shigeo, Kamatani Naoyuki

Abstract excerpt

An algorithm for estimating haplotypes associated with several quantitative phenotypes is proposed. The concept of a receiver operating characteristic (ROC) curve was introduced, and a linear combination of the quantitative phenotypic values was considered. This set of values was divided into two parts: values for subjects with and without a particular haplotype. The goodness of its partition was evaluated by the...

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

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Data Interpretation, Statistical

Share to Linear Models

Share to Models, Genetic

Share to Neural Networks, Computer

Share to Quantitative Trait, Heritable

Share to ROC Curve

Source

Identifiers

PMID: 16479317
DOI: 10.1007/s10038-006-0363-z

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

Estimation of haplotype associated with several quantitative phenotypes based on maximization of area under a receiver operating characteristic (ROC) curve.PMID 16479317Read ↗

Haplotype association analysis of discrete and continuous traits using mixture of regression models.Semantic proximity Read ↗

Determination of sample size for a multi-class classifier based on single-nucleotide polymorphisms: a volume under the surface approach.Semantic proximity Read ↗

A Mathematical Methodology to Predict Phenotype from GenotypeSemantic proximity Read ↗

Nonparametric Risk and Nonparametric Odds in Quantitative Genetic Association Studies.Semantic proximity Read ↗

Sample size determination for classifiers based on single-nucleotide polymorphisms.Semantic proximity Read ↗

Simultaneous estimation of haplotype frequencies and quantitative trait parameters: applications to the test of association between phenotype and diplotype configuration.Semantic proximity Read ↗

Phenome-wide association studies on a quantitative trait: application to TPMT enzyme activity and thiopurine therapy in pharmacogenomics.Semantic proximity Read ↗

Bagging optimal ROC curve method for predictive genetic tests, with an application for rheumatoid arthritis.Semantic proximity Read ↗

Test of association between haplotypes and phenotypes in case-control studies: examination of validity of the application of an algorithm for samples from cohort or clinical trials to case-control samples using simulated and real data.Semantic proximity Read ↗

An index of information content for genotype probabilities derived from segregation analysis.Semantic proximity Read ↗

Association test algorithm between a qualitative phenotype and a haplotype or haplotype set using simultaneous estimation of haplotype frequencies, diplotype configurations and diplotype-based penetrances.Semantic proximity Read ↗

A bivariate functional mapping model for identifying haplotypes that control drug response for systolic and diastolic blood pressures.Semantic proximity Read ↗

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