AIMC Topic: Genetics, Population

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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 ...
Demography Genetics, Population Wolves Population Density Neural Networks, Computer Animals 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...
Swine Neural Networks, Computer Animals, Wild Sus scrofa Polymorphism, Single Nucleotide Genotype Genetics, Population United States Animals Introduced Species Ecosystem
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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...
Animals Phylogeny Deep Learning Chickens Bees Ants Genomics Polymorphism, Single Nucleotide Genetics, Population
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Artificial intelligence enables unified analysis of historical and landscape influences on genetic diversity.

Molecular phylogenetics and evolution Jun 12, 2024
While genetic variation in any species is potentially shaped by a range of processes, phylogeography and landscape genetics are largely concerned with inferring how environmental conditions and landscape features impact neutral intraspecific diversit...
Phylogeography Genetics, Population Brazil Polymorphism, Single Nucleotide Genetic Variation Anura Models, Genetic Artificial Intelligence Animals
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Ancestry analysis using a self-developed 56 AIM-InDel loci and machine learning methods.

Forensic science international May 21, 2024
Insertion/deletion (InDel) polymorphisms can be used as one of the ancestry-informative markers in ancestry analysis. In this study, a self-developed panel consisting of 56 ancestry-informative InDels was used to investigate the genetic structures an...
Genetics, Population DNA Fingerprinting East Asian People Ethnicity Polymorphism, Genetic INDEL Mutation Gene Frequency Humans Machine Learning China
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Simplified detection of genetic background admixture using artificial intelligence.

Clinical genetics Apr 1, 2024
Admixture refers to the mixing of genetic ancestry from different populations. Admixture is important for genomic medicine because it can affect how an individual responds to certain medications, how they metabolize drugs, and susceptibility to certa...
Neural Networks, Computer Artificial Intelligence Genomics Genome, Human Software Humans Genetic Background Genetics, Population
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On convolutional neural networks for selection inference: Revealing the effect of preprocessing on model learning and the capacity to discover novel patterns.

PLoS computational biology Nov 27, 2023
A central challenge in population genetics is the detection of genomic footprints of selection. As machine learning tools including convolutional neural networks (CNNs) have become more sophisticated and applied more broadly, these provide a logical ...
Humans Neural Networks, Computer Machine Learning Genetics, Population Genomics Biological Evolution
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Domain-adaptive neural networks improve supervised machine learning based on simulated population genetic data.

PLoS genetics Nov 7, 2023
Investigators have recently introduced powerful methods for population genetic inference that rely on supervised machine learning from simulated data. Despite their performance advantages, these methods can fail when the simulated training data does ...
Neural Networks, Computer Machine Learning Genetics, Population Computer Simulation Supervised Machine Learning
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A Machine-Learning-Based Approach to Prediction of Biogeographic Ancestry within Europe.

International journal of molecular sciences Oct 11, 2023
Data obtained with the use of massive parallel sequencing (MPS) can be valuable in population genetics studies. In particular, such data harbor the potential for distinguishing samples from different populations, especially from those coming from adj...
DNA Humans Genetics, Population Machine Learning Support Vector Machine Europe
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Harnessing deep learning for population genetic inference.

Nature reviews. Genetics Sep 4, 2023
In population genetics, the emergence of large-scale genomic data for various species and populations has provided new opportunities to understand the evolutionary forces that drive genetic diversity using statistical inference. However, the era of p...
Genetics, Population Genome Deep Learning Biological Evolution Genomics
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