AIMC Topic: Phenotype

Clear Filters Showing 741 to 750 of 922 articles

Personalized prediction of negative affect in individuals with serious mental illness followed using long-term multimodal mobile phenotyping.

Translational psychiatry May 19, 2025
Heightened negative affect is a core feature of serious mental illness. Over 90% of American adults own a smartphone, equipped with an array of sensors which can continuously and unobtrusively measure behaviors (e.g., activity levels, location, and p...
Adult Male Middle Aged Female Young Adult Affect Mood Disorders Accelerometry Wearable Electronic Devices Smartphone Psychotic Disorders Humans Machine Learning Phenotype
View on PubMed DOI

Identification of predictive subphenotypes for clinical outcomes using real world data and machine learning.

Nature communications May 12, 2025
Predicting treatment response is an important problem in real-world applications, where the heterogeneity of the treatment response remains a significant challenge in practice. Unsupervised machine learning methods have been proposed to address this ...
Humans Machine Learning Phenotype Aged Male Immune Checkpoint Inhibitors Treatment Outcome Middle Aged Lung Neoplasms Prognosis Carcinoma, Non-Small-Cell Lung Electronic Health Records Female
View on PubMed DOI

Machine learning-based prediction of restless legs syndrome using digital phenotypes from wearables and smartphone data.

Scientific reports May 10, 2025
Restless legs syndrome (RLS) is a relatively common neurosensory disorder that causes an irresistible urge for leg movement. RLS causes sleep disturbances and reduced quality of life, but accurate diagnosis remains challenging owing to the reliance o...
Adult Phenotype Male Humans Female Middle Aged Circadian Rhythm Aged Machine Learning Restless Legs Syndrome Wearable Electronic Devices Smartphone
View on PubMed DOI

Deep scSTAR: leveraging deep learning for the extraction and enhancement of phenotype-associated features from single-cell RNA sequencing and spatial transcriptomics data.

Briefings in bioinformatics May 1, 2025
Single-cell sequencing has advanced our understanding of cellular heterogeneity and disease pathology, offering insights into cellular behavior and immune mechanisms. However, extracting meaningful phenotype-related features is challenging due to noi...
Humans Single-Cell Analysis Sequence Analysis, RNA Carcinoma, Renal Cell Gene Expression Profiling Phenotype Neoplasms Transcriptome Deep Learning
View on PubMed DOI

Rethinking GWAS: how lessons from genetic screens and artificial intelligence could reveal biological mechanisms.

Bioinformatics (Oxford, England) Mar 29, 2025
MOTIVATION: Modern single-cell omics data are key to unraveling the complex mechanisms underlying risk for complex diseases revealed by genome-wide association studies (GWAS). Phenotypic screens in model organisms have several important parallels to ...
Humans Artificial Intelligence Phenotype Animals Genome-Wide Association Study Computational Biology
View on PubMed DOI

Breaking the barrier of human-annotated training data for machine learning-aided plant research using aerial imagery.

Plant physiology Mar 28, 2025
Machine learning (ML) can accelerate biological research. However, the adoption of such tools to facilitate phenotyping based on sensor data has been limited by (i) the need for a large amount of human-annotated training data for each context in whic...
Phenotype Image Processing, Computer-Assisted Humans Poaceae Machine Learning
View on PubMed DOI

Post-composing ontology terms for efficient phenotyping in plant breeding.

Database : the journal of biological databases and curation Mar 21, 2025
Ontologies are widely used in databases to standardize data, improving data quality, integration, and ease of comparison. Within ontologies tailored to diverse use cases, post-composing user-defined terms reconciles the demands for standardization on...
Plants Biological Ontologies Plant Breeding Phenotype Databases, Genetic
View on PubMed DOI

The Unified Phenotype Ontology : a framework for cross-species integrative phenomics.

Genetics Mar 17, 2025
Phenotypic data are critical for understanding biological mechanisms and consequences of genomic variation, and are pivotal for clinical use cases such as disease diagnostics and treatment development. For over a century, vast quantities of phenotype...
Humans Phenotype Animals Biological Ontologies Phenomics
View on PubMed DOI

WheatGP, a genomic prediction method based on CNN and LSTM.

Briefings in bioinformatics Mar 4, 2025
Wheat plays a crucial role in ensuring food security. However, its complex genetic structure and trait variation pose significant challenges for breeding superior varieties. In this study, a genomic prediction method for wheat (WheatGP) is proposed. ...
Phenotype Genomics Models, Genetic Triticum Genome, Plant Plant Breeding Neural Networks, Computer
View on PubMed DOI

Integration of machine learning and genome-wide association study to explore the genomic prediction accuracy of agronomic trait in oats (Avena sativa L.).

The plant genome Mar 1, 2025
Machine learning (ML) has garnered significant attention for its potential to enhance the accuracy of genomic predictions (GPs) in various economic crops with the use of complete genomic information. Genome-wide association studies (GWAS) are widely ...
Genome-Wide Association Study Genomics Polymorphism, Single Nucleotide Machine Learning Phenotype Quantitative Trait Loci Plant Breeding Crops, Agricultural Avena Genome, Plant
View on PubMed DOI
Popular Topics
Recent Journals