AIMC Topic: Selection, Genetic

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A generalized Price equation for fuzzy set-mappings.

Theory in biosciences = Theorie in den Biowissenschaften May 30, 2025
The Price equation provides a formal account of selection building on a right-total mapping between two classes of individuals, which is usually interpreted as a parent-offspring relation. This paper presents a new formulation of the Price equation i...
Algorithms Humans Fuzzy Logic Selection, Genetic
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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 Swine Genomics Selection, Genetic Machine Learning Phenotype Algorithms Animals
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Fast and accurate deep learning scans for signatures of natural selection in genomes using FASTER-NN.

Communications biology Jan 15, 2025
Deep learning classification models based on Convolutional Neural Networks (CNNs) are increasingly used in population genetic inference for detecting signatures of natural selection. Prevailing detection methods treat the design of the classifier as ...
Humans Neural Networks, Computer Deep Learning Genetics, Population Selection, Genetic Genomics Genome Gene Frequency
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Data preprocessing methods for selective sweep detection using convolutional neural networks.

Methods (San Diego, Calif.) Nov 15, 2024
The identification of positive selection has been framed as a classification task, with Convolutional Neural Networks (CNNs) already outperforming summary statistics and likelihood-based approaches in accuracy. Despite the prevalence of CNN-based met...
Humans Neural Networks, Computer Algorithms Selection, Genetic
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The impacts of positive selection on genomic variation in Drosophila serrata: Insights from a deep learning approach.

Molecular ecology Aug 26, 2024
This study explores the impact of positive selection on the genetic composition of a Drosophila serrata population in eastern Australia through a comprehensive analysis of 110 whole genome sequences. Utilizing an advanced deep learning algorithm (par...
Genome, Insect Drosophila Genetics, Population Deep Learning Genomics Genetic Variation Selection, Genetic Australia Algorithms Animals
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Residual networks without pooling layers improve the accuracy of genomic predictions.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik May 21, 2024
Residual neural network genomic selection is the first GS algorithm to reach 35 layers, and its prediction accuracy surpasses previous algorithms. With the decrease in DNA sequencing costs and the development of deep learning, phenotype prediction ac...
Selection, Genetic Gene-Environment Interaction Algorithms Phenotype Genomics Neural Networks, Computer Models, Genetic Deep Learning
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Ridge regression and deep learning models for genome-wide selection of complex traits in New Mexican Chile peppers.

BMC genomic data Dec 18, 2023
BACKGROUND: Genomewide prediction estimates the genomic breeding values of selection candidates which can be utilized for population improvement and cultivar development. Ridge regression and deep learning-based selection models were implemented for ...
Bayes Theorem Selection, Genetic Deep Learning Multifactorial Inheritance Capsicum Plant Breeding Quantitative Trait Loci
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Construction and validation of a cuproptosis-related diagnostic gene signature for atrial fibrillation based on ensemble learning.

Hereditas Aug 24, 2023
BACKGROUND: Atrial fibrillation (AF) is the most common type of cardiac arrhythmia. Nonetheless, the accurate diagnosis of this condition continues to pose a challenge when relying on conventional diagnostic techniques. Cell death is a key factor in ...
Atrial Fibrillation Selection, Genetic Apoptosis Copper Gene Regulatory Networks RNA, Messenger Humans Machine Learning
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Smart breeding driven by big data, artificial intelligence, and integrated genomic-enviromic prediction.

Molecular plant Sep 7, 2022
The first paradigm of plant breeding involves direct selection-based phenotypic observation, followed by predictive breeding using statistical models for quantitative traits constructed based on genetic experimental design and, more recently, by inco...
Genomics Genotype Phenotype Big Data Plant Breeding Selection, Genetic Artificial Intelligence Genome
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Robots as models of evolving systems.

Proceedings of the National Academy of Sciences of the United States of America Mar 17, 2022
Experimental robobiological physics can bring insights into biological evolution. We present a development of hybrid analog/digital autonomous robots with mutable diploid dominant/recessive 6-byte genomes. The robots are capable of death, rebirth, an...
Mutation Robotics Animals Selection, Genetic Population Dynamics Mammals Probability Models, Genetic
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