AIMC Topic: Models, Genetic

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RNA splicing. The human splicing code reveals new insights into the genetic determinants of disease.

Science (New York, N.Y.) Dec 18, 2014
To facilitate precision medicine and whole-genome annotation, we developed a machine-learning technique that scores how strongly genetic variants affect RNA splicing, whose alteration contributes to many diseases. Analysis of more than 650,000 intron...
Models, Genetic Genome-Wide Association Study RNA Splicing Nuclear Proteins Polymorphism, Single Nucleotide Adaptor Proteins, Signal Transducing Child Development Disorders, Pervasive Genetic Variation RNA-Binding Proteins Colorectal Neoplasms, Hereditary Nonpolyposis MutL Protein Homolog 1 Molecular Sequence Annotation Humans RNA Splice Sites Introns Artificial Intelligence Mutation, Missense Computer Simulation Quantitative Trait Loci DNA Muscular Atrophy, Spinal Genetic Markers Exons Genetic Code
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Colored Traveling Salesman Problem.

IEEE transactions on cybernetics Dec 4, 2014
The multiple traveling salesman problem (MTSP) is an important combinatorial optimization problem. It has been widely and successfully applied to the practical cases in which multiple traveling individuals (salesmen) share the common workspace (city ...
Humans Neural Networks, Computer Algorithms Engineering Models, Genetic Models, Statistical
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UGMDR: a unified conceptual framework for detection of multifactor interactions underlying complex traits.

Heredity Oct 22, 2014
Biological outcomes are governed by multiple genetic and environmental factors that act in concert. Determining multifactor interactions is the primary topic of interest in recent genetics studies but presents enormous statistical and mathematical ch...
Proportional Hazards Models Multifactor Dimensionality Reduction Multifactorial Inheritance Logistic Models Models, Genetic Linear Models Humans Computer Simulation Polymorphism, Single Nucleotide Algorithms Phenotype
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A dynamic multiarmed bandit-gene expression programming hyper-heuristic for combinatorial optimization problems.

IEEE transactions on cybernetics Jun 2, 2014
Hyper-heuristics are search methodologies that aim to provide high-quality solutions across a wide variety of problem domains, rather than developing tailor-made methodologies for each problem instance/domain. A traditional hyper-heuristic framework ...
Models, Genetic Cybernetics Software Artificial Intelligence Algorithms
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Genetic algorithm-based classifiers fusion for multisensor activity recognition of elderly people.

IEEE journal of biomedical and health informatics Apr 21, 2014
Activity recognition of an elderly person can be used to provide information and intelligent services to health care professionals, carers, elderly people, and their families so that the elderly people can remain at homes independently. This study in...
Models, Genetic Electrocardiography, Ambulatory Geriatric Assessment Humans Algorithms Aged Accelerometry Transducers Artificial Intelligence Female Sensitivity and Specificity Reproducibility of Results Thermography Activities of Daily Living Actigraphy Male Pattern Recognition, Automated Motor Activity Subtraction Technique
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Genomic language models (gLMs) decode bacterial genomes for improved gene prediction and translation initiation site identification.

Briefings in bioinformatics Jul 2, 2025
Accurate bacterial gene prediction is essential for understanding microbial functions and advancing biotechnology. Traditional methods based on sequence homology and statistical models often struggle with complex genetic variations and novel sequence...
Genomics Natural Language Processing Bacteria Genome, Bacterial Genes, Bacterial Computational Biology Peptide Chain Initiation, Translational Models, Genetic
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Environment ensemble models for genomic prediction in common bean (Phaseolus vulgaris L.).

The plant genome Jun 1, 2025
For important food crops such as the common bean (Phaseolus vulgaris, L.), global demand continues to outpace the rate of genetic gain for quantitative traits. In this study, we leveraged the multi-environment trial (MET) dataset from the cooperative...
Models, Genetic Phaseolus Genome, Plant Plant Breeding Quantitative Trait Loci Phenotype Genomics Gene-Environment Interaction Polymorphism, Single Nucleotide Genotype
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Enhancing prediction accuracy of key biomass partitioning traits in wheat using multi-kernel genomic prediction models integrating secondary traits and environmental covariates.

The plant genome Jun 1, 2025
Achieving significant genetic gains in grain yield (GY) in wheat (Triticum aestivum L.) requires optimization of the key biomass partitioning traits such as spike partitioning index (SPI) and fruiting efficiency (FE). However, traditional manual phen...
Phenotype Triticum Plant Breeding Edible Grain Biomass Genomics Models, Genetic
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Deep learning and genomic best linear unbiased prediction integration: An approach to identify potential nonlinear genetic relationships between traits.

Journal of dairy science Jun 1, 2025
Genomic prediction (GP) aims to predict the breeding values of multiple complex traits, usually assumed to be multivariate normally distributed by the largely used statistical methods, thus imposing linear genetic relationships between traits. Althou...
Deep Learning Cattle Genomics Models, Genetic Phenotype Female Animals Milk Breeding
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Phyloformer: Fast, Accurate, and Versatile Phylogenetic Reconstruction with Deep Neural Networks.

Molecular biology and evolution Apr 1, 2025
Phylogenetic inference aims at reconstructing the tree describing the evolution of a set of sequences descending from a common ancestor. The high computational cost of state-of-the-art maximum likelihood and Bayesian inference methods limits their us...
Models, Genetic Evolution, Molecular Likelihood Functions Sequence Alignment Software Phylogeny Deep Learning Neural Networks, Computer
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