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

PyToxo: a Python tool for calculating penetrance tables of high-order epistasis models.

BMC bioinformatics - 2 Apr 2022

González-Seoane Borja, Ponte-Fernández Christian, González-Domínguez Jorge, Martín María J

Abstract excerpt

BACKGROUND: Epistasis is the interaction between different genes when expressing a certain phenotype. If epistasis involves more than two loci it is called high-order epistasis. High-order epistasis is an area under active research because it could be the cause of many complex traits. The most common way to specify an epistasis interaction is through a penetrance table. RESULTS: This paper presents PyToxo, a...

Read the complete abstract on PubMed

Topics

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

Share to Epistasis, Genetic
Share to Models, Genetic
Share to Penetrance

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Phenotype

Share to Software

Source

Open in PubMed Open full text

Identifiers

PMID: 35366804
DOI: 10.1186/s12859-022-04645-7
PMCID: PMC8977015

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

PyToxo: a Python tool for calculating penetrance tables of high-order epistasis models.PMID 35366804Read ↗

Toxo: a library for calculating penetrance tables of high-order epistasis models.Semantic proximity Read ↗

Analyzing High-Order Epistasis from Genotype-Phenotype Maps Using 'Epistasis' Package.Semantic proximity Read ↗

Evaluation of Existing Methods for High-Order Epistasis Detection.Semantic proximity Read ↗

Protocol for Epistasis Detection with Machine Learning Using GenEpi Package.Semantic proximity Read ↗

Fast and Accurate Exhaustive Higher-Order Epistasis Search with BitEpiSemantic proximity Read ↗

An information-gain approach to detecting three-way epistatic interactions in genetic association studies.Semantic proximity Read ↗

First-Order Correction of Statistical Significance for Screening Two-Way Epistatic Interactions.Semantic proximity Read ↗

A framework for modeling epistatic interaction.Semantic proximity Read ↗

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

Two-Stage Testing for Epistasis: Screening and Verification.Semantic proximity Read ↗

Distributed transformer for high order epistasis detection in large-scale datasets.Semantic proximity Read ↗

A model and test for coordinated polygenic epistasis in complex traits.Semantic proximity Read ↗

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