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Models, Genetic - AI Medical Compendium

AIMC Topic: Models, Genetic

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Estimating recombination using only the allele frequency spectrum.

Genetics Jan 7, 2026
Standard methods for estimating the population recombination parameter, ρ, are dependent on sampling individual genotypes and calculating various types of disequilibria. However, recent machine learning (ML) approaches to estimating recombination hav...
Humans Gene Frequency Genetics, Population Recombination, Genetic Machine Learning Models, Genetic
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Ensemble of Bayesian alphabets via constraint weight optimization strategy improves genomic prediction accuracy.

G3 (Bethesda, Md.) Sep 3, 2025
This study proposes a weight optimization-based ensemble framework aimed at improving genomic prediction accuracy. It incorporates 8 Bayesian models-BayesA, BayesB, BayesC, BayesBpi, BayesCpi, BayesR, BayesL, and BayesRR in the ensemble framework, wh...
Bayes Theorem Genomics Algorithms Models, Genetic
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Optimizing genomic prediction with transfer learning under a ridge regression framework.

The plant genome Sep 1, 2025
Genomic selection (GS) is a predictive plant and animal methodology that allows the selection of plants and animals based on predictions without the need to measure the phenotype. However, its practical application requires challenging prediction acc...
Machine Learning Models, Genetic Regression Analysis Genomics Genome, Plant Triticum Oryza
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Towards the next generation of species delimitation methods: an overview of machine learning applications.

Molecular phylogenetics and evolution Sep 1, 2025
Species delimitation is the process of distinguishing between populations of the same species and distinct species of a particular group of organisms. Various methods exist for inferring species limits, whether based on morphological, molecular, or o...
Machine Learning Models, Genetic Phylogeny Genetic Speciation
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Genomic language models (gLMs) decode bacterial genomes for improved gene prediction and translation initiation site identification.

Briefings in bioinformatics Jul 2, 2025
Accurate bacterial gene prediction is essential for understanding microbial functions and advancing biotechnology. Traditional methods based on sequence homology and statistical models often struggle with complex genetic variations and novel sequence...
Genomics Bacteria Natural Language Processing Genes, Bacterial Genome, Bacterial Computational Biology Models, Genetic Peptide Chain Initiation, Translational
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Environment ensemble models for genomic prediction in common bean (Phaseolus vulgaris L.).

The plant genome Jun 1, 2025
For important food crops such as the common bean (Phaseolus vulgaris, L.), global demand continues to outpace the rate of genetic gain for quantitative traits. In this study, we leveraged the multi-environment trial (MET) dataset from the cooperative...
Plant Breeding Quantitative Trait Loci Gene-Environment Interaction Polymorphism, Single Nucleotide Genotype Phenotype Phaseolus Genomics Models, Genetic Genome, Plant
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Enhancing prediction accuracy of key biomass partitioning traits in wheat using multi-kernel genomic prediction models integrating secondary traits and environmental covariates.

The plant genome Jun 1, 2025
Achieving significant genetic gains in grain yield (GY) in wheat (Triticum aestivum L.) requires optimization of the key biomass partitioning traits such as spike partitioning index (SPI) and fruiting efficiency (FE). However, traditional manual phen...
Edible Grain Plant Breeding Biomass Genomics Models, Genetic Triticum Phenotype
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Deep learning and genomic best linear unbiased prediction integration: An approach to identify potential nonlinear genetic relationships between traits.

Journal of dairy science Jun 1, 2025
Genomic prediction (GP) aims to predict the breeding values of multiple complex traits, usually assumed to be multivariate normally distributed by the largely used statistical methods, thus imposing linear genetic relationships between traits. Althou...
Animals Deep Learning Genomics Models, Genetic Cattle Phenotype Female Milk Breeding
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Phyloformer: Fast, Accurate, and Versatile Phylogenetic Reconstruction with Deep Neural Networks.

Molecular biology and evolution Apr 1, 2025
Phylogenetic inference aims at reconstructing the tree describing the evolution of a set of sequences descending from a common ancestor. The high computational cost of state-of-the-art maximum likelihood and Bayesian inference methods limits their us...
Neural Networks, Computer Deep Learning Likelihood Functions Models, Genetic Evolution, Molecular Sequence Alignment Software Phylogeny
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WheatGP, a genomic prediction method based on CNN and LSTM.

Briefings in bioinformatics Mar 4, 2025
Wheat plays a crucial role in ensuring food security. However, its complex genetic structure and trait variation pose significant challenges for breeding superior varieties. In this study, a genomic prediction method for wheat (WheatGP) is proposed. ...
Plant Breeding Triticum Neural Networks, Computer Genome, Plant Phenotype Genomics Models, Genetic
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