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

Statistical epistasis networks reduce the computational complexity of searching three-locus genetic models.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing - 1 Jan 2013

Hu Ting, Andrew Angeline S, Karagas Margaret R, Moore Jason H

Abstract excerpt

The rapid development of sequencing technologies makes thousands to millions of genetic attributes available for testing associations with various biological traits. Searching this enormous high-dimensional data space imposes a great computational challenge in genome-wide association studies. We introduce a network-based approach to supervise the search for three-locus models of disease susceptibility. Such...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Data Mining

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Databases, Nucleic Acid

Share to Epistasis, Genetic

Share to Gene Regulatory Networks

Share to Models, Statistical

Share to Software

Share to Urinary Bladder Neoplasms

Source

Open in PubMed Open full text

Identifiers

PMID: 23424144
PMCID: PMC3587773

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

Statistical epistasis networks reduce the computational complexity of searching three-locus genetic models.PMID 23424144Read ↗

Characterizing genetic interactions in human disease association studies using statistical epistasis networks.Semantic proximity Read ↗

Using biological networks to search for interacting loci in genome-wide association studies.Semantic proximity Read ↗

Genetic interactions effects for cancer disease identification using computational models: a review.Semantic proximity Read ↗

Analysis of Gene-Gene Interactions.Semantic proximity Read ↗

Statistical methods with exhaustive search in the identification of gene-gene interactions for colorectal cancer.Semantic proximity Read ↗

W-Test for Genetic Epistasis Testing.Semantic proximity Read ↗

Sparse modeling of interactions enables fast detection of genome-wide epistasis in biobank-scale studiesSemantic proximity Read ↗

Interpretable network-guided epistasis detection.Semantic proximity Read ↗

EPIBLASTER-fast exhaustive two-locus epistasis detection strategy using graphical processing units.Semantic proximity Read ↗

Epistasis Analysis: Classification Through Machine Learning Methods.Semantic proximity Read ↗

Sparse modeling of interactions enables fast detection of genome-wide epistasis in biobank-scale studies.Semantic proximity Read ↗

FDHE-IW: A Fast Approach for Detecting High-Order Epistasis in Genome-Wide Case-Control StudiesSemantic proximity Read ↗

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