AIMC Topic: Genotype

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Machine learning models for predicting morphological traits and optimizing genotype and planting date in roselle (Hibiscus Sabdariffa L.).

Scientific reports Aug 9, 2025
Accurate prediction and optimization of morphological traits in Roselle are essential for enhancing crop productivity and adaptability to diverse environments. In the present study, a machine learning framework was developed using Random Forest and M...
Genotype Quantitative Trait, Heritable Hibiscus Machine Learning Algorithms Phenotype
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AdaptiveGS: an explainable genomic selection framework based on adaptive stacking ensemble machine learning.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Aug 7, 2025
We developed an adaptive and unified stacking genomic selection framework and designed a model interpretation strategy to identify the candidate significant SNPs of target traits. Genomic selection (GS) is an important technique in modern molecular b...
Models, Genetic Machine Learning Genomics Selection, Genetic Algorithms Polymorphism, Single Nucleotide Plant Breeding Phenotype Genotype
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Machine learning-selected minimal features drive high-accuracy rule-based antibiotic susceptibility predictions for via metagenomic sequencing.

Microbiology spectrum Jul 11, 2025
Antimicrobial resistance (AMR) represents a critical global health challenge, demanding rapid and accurate antimicrobial susceptibility testing (AST) to guide timely treatments. Traditional culture-based AST methods are slow, while existing whole-gen...
Humans Machine Learning Anti-Bacterial Agents Staphylococcal Infections Metagenomics Genotype Genome, Bacterial Staphylococcus aureus Drug Resistance, Bacterial Whole Genome Sequencing Microbial Sensitivity Tests
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Predicting yellow mosaic disease severity in yardlong bean using visible imaging coupled with machine learning model.

Scientific reports Jul 10, 2025
Accurate estimation of plant disease severity is pivotal for effective management and decision-making. Field experiments were conducted to understand the correlation and predict the yellow mosaic disease severity in yard-long beans using visible imag...
Plant Diseases Phaseolus Disease Resistance Severity of Illness Index Genotype Machine Learning
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Genome sequencing is critical for forecasting outcomes following congenital cardiac surgery.

Nature communications Jul 10, 2025
While exome and whole genome sequencing have transformed medicine by elucidating the genetic underpinnings of both rare and common complex disorders, its utility to predict clinical outcomes remains understudied. Here, we use artificial intelligence ...
Genotype Treatment Outcome Whole Genome Sequencing Infant Child, Preschool Child Cardiac Surgical Procedures Heart Defects, Congenital Exome Sequencing Humans Forecasting Prospective Studies Female Infant, Newborn Male
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Machine learning using genotype and gene-expression data identifies alterations of genes involved in infection susceptibility, antigen presentation and cytokine signalling as key contributors to JIA risk prediction.

RMD open Jul 9, 2025
BACKGROUND: Previous genome-wide association studies (GWAS) have identified numerous genetic loci associated with juvenile idiopathic arthritis (JIA). However, the functional impact of these variants-particularly on tissue-specific gene expression-an...
Humans Genotype Signal Transduction Quantitative Trait Loci Gene Regulatory Networks Machine Learning Antigen Presentation Genetic Predisposition to Disease Arthritis, Juvenile Cytokines Polymorphism, Single Nucleotide Genome-Wide Association Study
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GAINSeq: glaucoma pre-symptomatic detection using machine learning models driven by next-generation sequencing data.

Scientific reports Jul 2, 2025
Congenital glaucoma, a complex and diverse condition, presents considerable difficulties in its identification and categorization. This research used Next Generation Sequencing (NGS) whole-exome data to create a categorization framework using machine...
High-Throughput Nucleotide Sequencing Algorithms Genotype Decision Trees Humans Glaucoma Machine Learning
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A genotype-to-drug diffusion model for generation of tailored anti-cancer small molecules.

Nature communications Jul 1, 2025
Despite advances in precision oncology, developing effective cancer therapeutics remains a significant challenge due to tumor heterogeneity and the limited availability of well-defined drug targets. Recent progress in generative artificial intelligen...
Neoplasms Antineoplastic Agents Genotype Triple Negative Breast Neoplasms Small Molecule Libraries Artificial Intelligence Precision Medicine Humans Female
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Generative prediction of causal gene sets responsible for complex traits.

Proceedings of the National Academy of Sciences of the United States of America Jun 12, 2025
The relationship between genotype and phenotype remains an outstanding question for organism-level traits because these traits are generally . The challenge arises from complex traits being determined by a combination of multiple genes (or loci), whi...
Models, Genetic Humans Transcriptome Quantitative Trait Loci Machine Learning Genome-Wide Association Study Multifactorial Inheritance Phenotype Genotype Gene Expression Profiling
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Generative AI for predictive breeding: hopes and caveats.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Jun 11, 2025
Among the broad area of artificial intelligence (AI), generative AI algorithms have emerged as a revolutionary technology able to produce highly realistic 'synthetic' data, akin to standard simulation but with fewer contraints. The main focus of gene...
Models, Genetic Plant Breeding Artificial Intelligence Phenotype Algorithms Computer Simulation Genotype
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