AIMC Topic: Selection, Genetic

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Artificial intelligence in the selection of common bean genotypes with high phenotypic stability.

Genetics and molecular research : GMR Apr 28, 2016
Artificial neural networks have been used for various purposes in plant breeding, including use in the investigation of genotype x environment interactions. The aim of this study was to use artificial neural networks in the selection of common bean g...
Models, Genetic Edible Grain Selection, Genetic Phaseolus Plant Breeding Neural Networks, Computer Phenotype Genotype
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Identifying targets of selection in mosaic genomes with machine learning: applications in Anopheles gambiae for detecting sites within locally adapted chromosomal inversions.

Molecular ecology Apr 20, 2016
Chromosomal inversions are important structural changes that may facilitate divergent selection when they capture co-adaptive loci in the face of gene flow. However, identifying selection targets within inversions can be challenging. The high degrees...
Ecosystem Cameroon Polymorphism, Single Nucleotide Machine Learning Animals Insect Vectors Genome, Insect Recombination, Genetic Models, Genetic Selection, Genetic Adaptation, Physiological Anopheles Chromosome Inversion
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Evaluation of the efficiency of artificial neural networks for genetic value prediction.

Genetics and molecular research : GMR Mar 28, 2016
Artificial neural networks have shown great potential when applied to breeding programs. In this study, we propose the use of artificial neural networks as a viable alternative to conventional prediction methods. We conduct a thorough evaluation of t...
Neural Networks, Computer Phenotype Animals Breeding Selection, Genetic Genetic Fitness Genotype Models, Genetic
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S/HIC: Robust Identification of Soft and Hard Sweeps Using Machine Learning.

PLoS genetics Mar 15, 2016
Detecting the targets of adaptive natural selection from whole genome sequencing data is a central problem for population genetics. However, to date most methods have shown sub-optimal performance under realistic demographic scenarios. Moreover, over...
Chromosomes, Human, Pair 18 Genetic Drift Humans Machine Learning Haplotypes Genome, Human Selection, Genetic Genetics, Population
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Hierarchical boosting: a machine-learning framework to detect and classify hard selective sweeps in human populations.

Bioinformatics (Oxford, England) Aug 26, 2015
MOTIVATION: Detecting positive selection in genomic regions is a recurrent topic in natural population genetic studies. However, there is little consistency among the regions detected in several genome-wide scans using different tests and/or populati...
Demography Genetics, Population Genomics Polymorphism, Genetic Selection, Genetic Humans Machine Learning
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Artificial neural networks reveal efficiency in genetic value prediction.

Genetics and molecular research : GMR Jun 18, 2015
The objective of this study was to evaluate the efficiency of artificial neural networks (ANNs) for predicting genetic value in experiments carried out in randomized blocks. Sixteen scenarios were simulated with different values of heritability (10, ...
Computer Simulation Reproducibility of Results Animals Neural Networks, Computer Phenotype Selection, Genetic Genotype Genetics, Population Plants Inheritance Patterns Breeding
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DANN: a deep learning approach for annotating the pathogenicity of genetic variants.

Bioinformatics (Oxford, England) Oct 22, 2014
UNLABELLED: Annotating genetic variants, especially non-coding variants, for the purpose of identifying pathogenic variants remains a challenge. Combined annotation-dependent depletion (CADD) is an algorithm designed to annotate both coding and non-c...
Genetic Variation Algorithms Humans Genome, Human Molecular Sequence Annotation Neural Networks, Computer Support Vector Machine Area Under Curve Selection, Genetic Computer Graphics
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Genomic selection: Essence, applications, and prospects.

The plant genome Jun 1, 2025
Genomic selection (GS) emerged as a key part of the solution to ensure the food supply for the growing human population thanks to advances in genotyping and other enabling technologies and improved understanding of the genotype-phenotype relationship...
Phenotype Selection, Genetic Genome, Plant Plant Breeding Genomics Genotype Crops, Agricultural
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Efficient Detection and Characterization of Targets of Natural Selection Using Transfer Learning.

Molecular biology and evolution Apr 30, 2025
Natural selection leaves detectable patterns of altered spatial diversity within genomes, and identifying affected regions is crucial for understanding species evolution. Recently, machine learning approaches applied to raw population genomic data ha...
Machine Learning Selection, Genetic Humans Neural Networks, Computer
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Predicting Fitness-Related Traits Using Gene Expression and Machine Learning.

Genome biology and evolution Feb 3, 2025
Evolution by natural selection occurs at its most basic through the change in frequencies of alleles; connecting those genomic targets to phenotypic selection is an important goal for evolutionary biology in the genomics era. The relative abundance o...
Selection, Genetic Machine Learning Gene Expression Regulation, Plant Phenotype Photosynthesis Transcriptome Genetic Fitness Ipomoea
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