AIMC Topic: Genomics

Clear Filters Showing 1 to 10 of 1012 articles

Recent developments in omics studies and artificial intelligence in depression and suicide.

Translational psychiatry Aug 11, 2025
Major depressive disorder (MDD) is the most prevalent and severe form of mental illness and is significantly linked to suicide. At present, addressing the treatment and prevention of depression and suicide poses significant challenges, largely due to...
Humans Artificial Intelligence Transcriptome Suicide Genomics Animals Depressive Disorder, Major
View on PubMed DOI

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...
Plant Breeding Models, Genetic Selection, Genetic Algorithms Phenotype Polymorphism, Single Nucleotide Genotype Genomics Machine Learning
View on PubMed DOI

varCADD: large sets of standing genetic variation enable genome-wide pathogenicity prediction.

Genome medicine Aug 4, 2025
BACKGROUND: Machine learning and artificial intelligence are increasingly being applied to identify phenotypically causal genetic variation. These data-driven methods require comprehensive training sets to deliver reliable results. However, large unb...
Software Genome-Wide Association Study Genomics Humans Machine Learning Genetic Variation Genome, Human Computational Biology Databases, Genetic
View on PubMed DOI

In silico prediction of variant effects: promises and limitations for precision plant breeding.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Jul 28, 2025
Sequence-based AI models show great potential for prediction of variant effects at high resolution, but their practical value in plant breeding remains to be confirmed through rigorous validation studies. Plant breeding has traditionally relied on ph...
Genetic Variation Genome, Plant Plant Breeding Models, Genetic Plants Machine Learning Computer Simulation Genomics Phenotype
View on PubMed DOI

Generating realistic artificial human genomes using adversarial autoencoders.

NAR genomics and bioinformatics Jul 24, 2025
A publicly available human genome is both valuable to researchers and a risk for its donor. Many actors could exploit it to extract information about the donor's health or that of their relatives. Recent efforts have employed artificial intelligence ...
Linkage Disequilibrium Mutation Genome, Human Autoencoder Algorithms Genomics Humans Artificial Intelligence
View on PubMed DOI

A deep ensemble framework for human essential gene prediction by integrating multi-omics data.

Scientific reports Jul 21, 2025
Essential genes are necessary for the survival or reproduction of a living organism. The prediction and analysis of gene essentiality can advance our understanding of basic life and human diseases, and further boost the development of new drugs. We p...
Humans Neural Networks, Computer Protein Interaction Maps Genomics Gene Ontology Machine Learning Multiomics Computational Biology Deep Learning Genes, Essential
View on PubMed DOI

Proactive process evaluation of precision medicine platforms: a roadmap.

BMJ health & care informatics Jul 20, 2025
BACKGROUND: Precision and genomic medicine have significant potential to improve population health. However, despite rapid technological development and increasing data complexity, practical applications of precision medicine remain limited. There is...
Precision Medicine Genomics Process Assessment, Health Care Humans
View on PubMed DOI

Evaluating the representational power of pre-trained DNA language models for regulatory genomics.

Genome biology Jul 14, 2025
BACKGROUND: The emergence of genomic language models (gLMs) offers an unsupervised approach to learning a wide diversity of cis-regulatory patterns in the non-coding genome without requiring labels of functional activity generated by wet-lab experime...
Models, Genetic Regulatory Sequences, Nucleic Acid Humans Genomics
View on PubMed DOI

Comprehensive multi-omics and machine learning framework for glioma subtyping and precision therapeutics.

Scientific reports Jul 10, 2025
Glioma is a highly heterogeneous and aggressive brain tumour that demands an integrated understanding of its molecular and immunological landscape. We collected multi-omics data from 575 TCGA diffuse-glioma patients (156 IDH-wild-type WHO-grade 4 gli...
Tumor Microenvironment Biomarkers, Tumor Brain Neoplasms Precision Medicine Prognosis Genomics Gene Expression Regulation, Neoplastic Humans Multiomics Glioma Machine Learning Mutation
View on PubMed DOI

Multi-task genomic prediction using gated residual variable selection neural networks.

BMC bioinformatics Jul 7, 2025
BACKGROUND: The recent development of high-throughput sequencing techniques provide massive data that can be used in genome-wide prediction (GWP). Although GWP is effective on its own, the incorporation of traditional polygenic pedigree information i...
Models, Genetic Bayes Theorem Pedigree Swine Neural Networks, Computer Mice Animals Genomics
View on PubMed DOI
Popular Topics
Recent Journals