AIMC Topic: Models, Genetic

Clear Filters Showing 11 to 20 of 349 articles

Performance of deep-learning-based approaches to improve polygenic scores.

Nature communications Jun 2, 2025
Polygenic scores, which estimate an individual's genetic propensity for a disease or trait, have the potential to become part of genomic healthcare. Neural-network based deep-learning has emerged as a method of intense interest to model complex, nonl...
Linkage Disequilibrium Genome-Wide Association Study Gene-Environment Interaction Genetic Predisposition to Disease Polymorphism, Single Nucleotide Multifactorial Inheritance Models, Genetic United Kingdom Linear Models Humans Neural Networks, Computer Phenotype Deep Learning
View on PubMed DOI

Statistical algorithms for the analysis of deleterious genetic mutations.

Bio Systems Apr 30, 2025
We present algorithms for model selection and parameter estimation concerning deleterious genetic mutations. Three models are considered: single gene mutation, double cross-effect mutations or no genetic cause. Each of these models include unknown pa...
Humans Algorithms Computer Simulation Models, Statistical Ovarian Neoplasms Female Mutation Breast Neoplasms Models, Genetic
View on PubMed DOI

Sweet pepper yield modeling via deep learning and selection of superior genotypes using GBLUP and MGIDI.

Scientific reports Apr 27, 2025
Intelligent knowledge about Capsicum annuum L. germplasm could lead to effective management of germplasm. Here, 29 accessions of sweet pepper were investigated in two separate randomized complete block design with three replications in the field cond...
Genotype Models, Genetic Fruit Neural Networks, Computer Deep Learning Capsicum Plant Breeding
View on PubMed DOI

EBMGP: a deep learning model for genomic prediction based on Elastic Net feature selection and bidirectional encoder representations from transformer's embedding and multi-head attention pooling.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Apr 19, 2025
Enhancing early selection through genomic estimated breeding values is pivotal for reducing generation intervals and accelerating breeding programs. Recently, deep learning (DL) approaches have gained prominence in genomic prediction (GP). Here, we i...
Genomics Polymorphism, Single Nucleotide Models, Genetic Deep Learning Plant Breeding
View on PubMed DOI

Exploring the application of deep learning methods for polygenic risk score estimation.

Biomedical physics & engineering express Mar 13, 2025
. Polygenic risk scores (PRS) summarise genetic information into a single number with clinical and research uses. Deep learning (DL) has revolutionised multiple fields, however, the impact of DL on PRSs has been less significant. We explore how DL ca...
Genetic Predisposition to Disease Polymorphism, Single Nucleotide Models, Genetic United Kingdom Multifactorial Inheritance Genetic Risk Score Deep Learning Genome-Wide Association Study ROC Curve Risk Factors Risk Assessment Humans Algorithms
View on PubMed DOI

Genomic selection in pig breeding: comparative analysis of machine learning algorithms.

Genetics, selection, evolution : GSE Mar 10, 2025
BACKGROUND: The effectiveness of genomic prediction (GP) significantly influences breeding progress, and employing SNP markers to predict phenotypic values is a pivotal aspect of pig breeding. Machine learning (ML) methods are usually used to predict...
Polymorphism, Single Nucleotide Models, Genetic Breeding Animals Selection, Genetic Machine Learning Swine Algorithms Genomics Phenotype
View on PubMed DOI

A compendium of human gene functions derived from evolutionary modelling.

Nature Feb 26, 2025
A comprehensive, computable representation of the functional repertoire of all macromolecules encoded within the human genome is a foundational resource for biology and biomedical research. The Gene Ontology Consortium has been working towards this g...
Genomics Models, Genetic Evolution, Molecular Genome, Human Gene Ontology Genes Humans
View on PubMed DOI

Comparing statistical learning methods for complex trait prediction from gene expression.

PloS one Feb 11, 2025
Accurate prediction of complex traits is an important task in quantitative genetics. Genotypes have been used for trait prediction using a variety of methods such as mixed models, Bayesian methods, penalized regression methods, dimension reduction me...
Genotype Models, Genetic Drosophila melanogaster Female Drosophila Machine Learning Animals Reflex, Startle Phenotype Male
View on PubMed DOI

Modeling gene interactions in polygenic prediction via geometric deep learning.

Genome research Jan 22, 2025
Polygenic risk score (PRS) is a widely used approach for predicting individuals' genetic risk of complex diseases, playing a pivotal role in advancing precision medicine. Traditional PRS methods, predominantly following a linear structure, often fall...
Epistasis, Genetic Neural Networks, Computer Multifactorial Inheritance Deep Learning Genetic Predisposition to Disease Genome-Wide Association Study Humans Models, Genetic
View on PubMed DOI

The role of chromatin state in intron retention: A case study in leveraging large scale deep learning models.

PLoS computational biology Jan 10, 2025
Complex deep learning models trained on very large datasets have become key enabling tools for current research in natural language processing and computer vision. By providing pre-trained models that can be fine-tuned for specific applications, they...
Computational Biology Models, Genetic Humans Natural Language Processing Introns Deep Learning Chromatin Genomics
View on PubMed DOI
Popular Topics
Recent Journals