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 novel survival multifactor dimensionality reduction method for detecting gene-gene interactions with application to bladder cancer prognosis.

Human genetics - 1 Jan 2011

Gui Jiang, Moore Jason H, Kelsey Karl T, Marsit Carmen J, Karagas Margaret R, Andrew Angeline S

Abstract excerpt

The widespread use of high-throughput methods of single nucleotide polymorphism (SNP) genotyping has created a number of computational and statistical challenges. The problem of identifying SNP-SNP interactions in case-control studies has been studied extensively, and a number of new techniques have been developed. Little progress has been made, however, in the analysis of SNP-SNP interactions in relation to...

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 Epistasis, Genetic

Share to Follow-Up Studies

Share to Genetic Loci

Share to Multifactor Dimensionality Reduction

Share to Survival Analysis

Share to Urinary Bladder Neoplasms

Source

Open in PubMed Open full text

Identifiers

PMID: 20981448
DOI: 10.1007/s00439-010-0905-5
PMCID: PMC3255326

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 novel survival multifactor dimensionality reduction method for detecting gene-gene interactions with application to bladder cancer prognosis.PMID 20981448Read ↗

Gene-gene interaction analysis for the survival phenotype based on the Cox model.Semantic proximity Read ↗

Gene-Gene Interaction Analysis for the Survival Phenotype Based on the Kaplan-Meier Median Estimate.Semantic proximity Read ↗

A Comparative Study on Multifactor Dimensionality Reduction Methods for Detecting Gene-Gene Interactions with the Survival Phenotype.Semantic proximity Read ↗

A robust multifactor dimensionality reduction method for detecting gene-gene interactions with application to the genetic analysis of bladder cancer susceptibility.Semantic proximity Read ↗

A New Efficient Method to Detect Genetic Interactions for Lung Cancer GWASSemantic proximity Read ↗

A comparative study on the unified model based multifactor dimensionality reduction methods for identifying gene-gene interactions associated with the survival phenotypeSemantic proximity Read ↗

Multiobjective multifactor dimensionality reduction to detect SNP-SNP interactions.Semantic proximity Read ↗

A new efficient method to detect genetic interactions for lung cancer GWAS.Semantic proximity Read ↗

Kernel machine SNP-set analysis for censored survival outcomes in genome-wide association studies.Semantic proximity Read ↗

Multifactor dimensionality reduction software for detecting gene-gene and gene-environment interactions.Semantic proximity Read ↗

Weighted risk score-based multifactor dimensionality reduction to detect gene-gene interactions in nasopharyngeal carcinoma.Semantic proximity Read ↗

Spatial rank-based multifactor dimensionality reduction to detect gene-gene interactions for multivariate phenotypes.Semantic proximity Read ↗

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