AIMC Topic: Genetics, Population

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Assessing simulation-based supervised machine learning for demographic parameter inference from genomic data.

Heredity Jun 6, 2025
The ever-increasing availability of high-throughput DNA sequences and the development of numerous computational methods have led to considerable advances in our understanding of the evolutionary and demographic history of populations. Several demogra...
Neural Networks, Computer Machine Learning Algorithms Humans Bayes Theorem Supervised Machine Learning Genetics, Population Computer Simulation Genomics Models, Genetic
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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 ...
Genomics Gene Frequency Selection, Genetic Humans Neural Networks, Computer Deep Learning Genome Genetics, Population
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A machine learning approach for estimating Eastern Asian origins from massive screening of Y chromosomal short tandem repeats polymorphisms.

International journal of legal medicine Jan 8, 2025
Inferring the ancestral origin of DNA evidence recovered from crime scenes is crucial in forensic investigations, especially in the absence of a direct suspect match. Ancestry informative markers (AIMs) have been widely researched and commercially de...
DNA Fingerprinting Asian People Asia, Eastern Haplotypes Machine Learning Chromosomes, Human, Y Polymorphism, Genetic Microsatellite Repeats Male Humans Genetics, Population East Asian People
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XGBoost as a reliable machine learning tool for predicting ancestry using autosomal STR profiles - Proof of method.

Forensic science international. Genetics Nov 29, 2024
The aim of this study was to test the validity of a predictive model of ancestry affiliation based on Short Tandem Repeat (STR) profiles. Frequencies of 29 genetic markers from the Promega website for four distinct population groups (African American...
Racial Groups Boosting Machine Learning Algorithms Microsatellite Repeats Genetics, Population DNA Fingerprinting Machine Learning Support Vector Machine Decision Trees Humans
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Phylogenomics and phylogeographic model testing using convolutional neural networks reveal a history of recent admixture in the Canarian Kleinia neriifolia.

Molecular ecology Oct 19, 2024
Multiple-island endemics (MIE) are considered ideal natural subjects to study patterns of island colonization that involve recent population-level genetic processes. Kleinia neriifolia is a Canarian MIE widespread across the archipelago, which exhibi...
Genetics, Population Islands Plastids Phylogeny Polymorphism, Single Nucleotide Phylogeography Neural Networks, Computer
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Semi-supervised machine learning method for predicting homogeneous ancestry groups to assess Hardy-Weinberg equilibrium in diverse whole-genome sequencing studies.

American journal of human genetics Sep 12, 2024
Large-scale, multi-ethnic whole-genome sequencing (WGS) studies, such as the National Human Genome Research Institute Genome Sequencing Program's Centers for Common Disease Genomics (CCDG), play an important role in increasing diversity for genetic r...
Genetics, Population Polymorphism, Single Nucleotide Genotype Whole Genome Sequencing Supervised Machine Learning Ethnicity Humans Genome, Human Genome-Wide Association Study
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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...
Genetic Variation Selection, Genetic Drosophila Algorithms Genetics, Population Deep Learning Animals Genomics Genome, Insect Australia
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Estimation of spatial demographic maps from polymorphism data using a neural network.

Molecular ecology resources Aug 16, 2024
A fundamental goal in population genetics is to understand how variation is arrayed over natural landscapes. From first principles we know that common features such as heterogeneous population densities and barriers to dispersal should shape genetic ...
Population Density Wolves Demography Genetics, Population Animals Neural Networks, Computer Polymorphism, Single Nucleotide Genotype
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Characterizing feral swine movement across the contiguous United States using neural networks and genetic data.

Molecular ecology Aug 15, 2024
Globalization has led to the frequent movement of species out of their native habitat. Some of these species become highly invasive and capable of profoundly altering invaded ecosystems. Feral swine (Sus scrofa × domesticus) are recognized as being a...
Animals Ecosystem Swine Animals, Wild Introduced Species Neural Networks, Computer Polymorphism, Single Nucleotide Genotype United States Sus scrofa Genetics, Population
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Tracing the genealogy origin of geographic populations based on genomic variation and deep learning.

Molecular phylogenetics and evolution Jul 2, 2024
Assigning a query individual animal or plant to its derived population is a prime task in diverse applications related to organismal genealogy. Such endeavors have conventionally relied on short DNA sequences under a phylogenetic framework. These met...
Chickens Deep Learning Animals Bees Genomics Phylogeny Genetics, Population Ants Polymorphism, Single Nucleotide
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