AIMC Topic: Models, Genetic

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Applications of machine learning in phylogenetics.

Molecular phylogenetics and evolution Mar 31, 2024
Machine learning has increasingly been applied to a wide range of questions in phylogenetic inference. Supervised machine learning approaches that rely on simulated training data have been used to infer tree topologies and branch lengths, to select s...
Phylogeny Models, Genetic Supervised Machine Learning Machine Learning
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[Development of prognostic clinical and genetic models of the risk of low bone mineral density using neural network training].

Problemy endokrinologii Jan 24, 2024
BACKGROUND: Osteoporosis is a common age-related disease with disabling consequences, the early diagnosis of which is difficult due to its long and hidden course, which often leads to diagnosis only after a fracture. In this regard, great expectation...
Models, Genetic Bone Density Machine Learning Osteoporosis Prognosis Male Female Aged Humans Middle Aged Adult Neural Networks, Computer
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Using machine learning and partial dependence to evaluate robustness of best linear unbiased prediction (BLUP) for phenotypic values.

Journal of applied genetics Jan 3, 2024
Best linear unbiased prediction (BLUP) is widely used in plant research to address experimental variation. For phenotypic values, BLUP accuracy is largely dependent on properly controlled experimental repetition and how variable components are outlin...
Phenotype Genotype Models, Genetic Machine Learning Linear Models
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Hold out the genome: a roadmap to solving the cis-regulatory code.

Nature Dec 13, 2023
Gene expression is regulated by transcription factors that work together to read cis-regulatory DNA sequences. The 'cis-regulatory code' - how cells interpret DNA sequences to determine when, where and how much genes should be expressed - has proven ...
Regulatory Sequences, Nucleic Acid Machine Learning Transcription Factors Models, Genetic Genomics DNA
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Interaction between maintenance variables of medical ultrasound scanners through multifactor dimensionality reduction.

Expert review of medical devices Aug 7, 2023
BACKGROUND: Proper maintenance of electro-medical devices is crucial for the quality of care to patients and the economic performance of healthcare organizations. This research aims to identify the interaction between Ultrasound scanners (US) mainten...
Humans Reproducibility of Results Models, Genetic Ultrasonography Multifactor Dimensionality Reduction
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deepGBLUP: joint deep learning networks and GBLUP framework for accurate genomic prediction of complex traits in Korean native cattle.

Genetics, selection, evolution : GSE Jul 31, 2023
BACKGROUND: Genomic prediction has become widespread as a valuable tool to estimate genetic merit in animal and plant breeding. Here we develop a novel genomic prediction algorithm, called deepGBLUP, which integrates deep learning networks and a geno...
Polymorphism, Single Nucleotide Genotype Cattle Genomics Quantitative Trait Loci Multifactorial Inheritance Models, Genetic Bayes Theorem Phenotype Animals Deep Learning Republic of Korea
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DeepCGP: A Deep Learning Method to Compress Genome-Wide Polymorphisms for Predicting Phenotype of Rice.

IEEE/ACM transactions on computational biology and bioinformatics Jun 5, 2023
Genomic selection (GS) is expected to accelerate plant and animal breeding. During the last decade, genome-wide polymorphism data have increased, which has raised concerns about storage cost and computational time. Several individual studies have att...
Oryza Models, Genetic Bayes Theorem Polymorphism, Single Nucleotide Genotype Phenotype Deep Learning Genomics Animals
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Gene-environment interaction analysis via deep learning.

Genetic epidemiology Feb 19, 2023
Gene-environment (G-E) interaction analysis plays an important role in studying complex diseases. Extensive methodological research has been conducted on G-E interaction analysis, and the existing methods are mostly based on regression techniques. In...
Humans Melanoma Gene-Environment Interaction Models, Genetic Melanoma, Cutaneous Malignant Skin Neoplasms Deep Learning
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Deep learning identified genetic variants for COVID-19-related mortality among 28,097 affected cases in UK Biobank.

Genetic epidemiology Jan 24, 2023
Analysis of host genetic components provides insights into the susceptibility and response to viral infection such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19). To reveal genetic de...
Models, Genetic Biological Specimen Banks United Kingdom SARS-CoV-2 Humans Deep Learning COVID-19
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Quartet Based Gene Tree Imputation Using Deep Learning Improves Phylogenomic Analyses Despite Missing Data.

Journal of computational biology : a journal of computational molecular cell biology Sep 1, 2022
Species tree estimation is frequently based on phylogenomic approaches that use multiple genes from throughout the genome. However, for a combination of reasons (ranging from sampling biases to more biological causes, as in gene birth and loss), gene...
Computer Simulation Models, Genetic Genome Genetic Speciation Phylogeny Deep Learning
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