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

TKOA-GPNN: a model framework for genotype-to-phenotype prediction in Duroc pigs.

BMC genomics - 9 Jun 2026

Zhou Jiali, Liu Zuhong, Liu Kaiyue, Deng Bing, Wen Jianghui

Abstract excerpt

CONTEXT: Genomic prediction has been established as a powerful tool in pig breeding, which typically entails the analysis of large-scale genomic datasets. Neural network models, renowned for their robust pattern recognition capabilities, have been successfully applied to extract complex genetic patterns from such high-dimensional genomic data. OBJECTIVE: Because growth traits are critical economic indicators in...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Breeding
Share to Genetic Association Studies

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genomics

Share to Neural Networks, Computer

Share to Prediction Algorithms

Share to Quantitative Trait Loci

Source

Open in PubMed Open full text

Identifiers

PMID: 42265584
DOI: 10.1186/s12864-026-12990-7
PMCID: PMC13474873

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

TKOA-GPNN: a model framework for genotype-to-phenotype prediction in Duroc pigs.PMID 42265584Read ↗

Predictive ability of multi-population genomic prediction methods of phenotypes for reproduction traits in Chinese and Austrian pigs.Semantic proximity Read ↗

Using machine learning to realize genetic site screening and genomic prediction of productive traits in pigs.Semantic proximity Read ↗

Factors affecting the accuracy of genomic prediction in joint pig populations.Semantic proximity Read ↗

Genomic prediction of growth trait phenotypes in Large White pigs using a chromosome-encoded multi-head self-attention model.Semantic proximity Read ↗

Genomic evaluation using SNP- and haplotype-based genomic relationship matrices in a closed line of Duroc pigs.Semantic proximity Read ↗

Genomic background of biotypes related to growth, carcass and meat quality traits in Duroc pigs based on principal component analysis.Semantic proximity Read ↗

Genome-wide association study and accuracy of genomic prediction for teat number in Duroc pigs using genotyping-by-sequencing.Semantic proximity Read ↗

The effect of high-density genotypic data and different methods on joint genomic prediction: A case study in large white pigs.Semantic proximity Read ↗

Genomic prediction of growth traits for pigs in the presence of genotype by environment interactions using single-step genomic reaction norm model.Semantic proximity Read ↗

ReaGP: integrating residual units and attention mechanisms in convolution neural network for genomic prediction.Semantic proximity Read ↗

DeepAnnotation: A novel interpretable deep learning-based genomic selection model that integrates comprehensive functional annotations.Semantic proximity Read ↗

Genomic prediction of pig growth traits based on machine learning.Semantic proximity Read ↗

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