AIMC Topic: Phenotype

Clear Filters Showing 291 to 300 of 918 articles

Dimensionality reduction of longitudinal 'omics data using modern tensor factorizations.

PLoS computational biology Jul 15, 2022
Longitudinal 'omics analytical methods are extensively used in the evolving field of precision medicine, by enabling 'big data' recording and high-resolution interpretation of complex datasets, driven by individual variations in response to perturbat...
Big Data Machine Learning Algorithms Phenotype Precision Medicine Humans
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Gene function prediction in five model eukaryotes exclusively based on gene relative location through machine learning.

Scientific reports Jul 8, 2022
The function of most genes is unknown. The best results in automated function prediction are obtained with machine learning-based methods that combine multiple data sources, typically sequence derived features, protein structure and interaction data....
Phenotype Animals Machine Learning Drosophila melanogaster Caenorhabditis elegans Genome Mice Saccharomyces cerevisiae
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Interpretable modeling of genotype-phenotype landscapes with state-of-the-art predictive power.

Proceedings of the National Academy of Sciences of the United States of America Jun 21, 2022
Large-scale measurements linking genetic background to biological function have driven a need for models that can incorporate these data for reliable predictions and insight into the underlying biophysical system. Recent modeling efforts, however, pr...
Phenotype Genotype Neural Networks, Computer Gene-Environment Interaction Bayes Theorem Mutation
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Any colour you like: fish interacting with bioinspired robots unravel mechanisms promoting mixed phenotype aggregations.

Bioinspiration & biomimetics May 30, 2022
Collective behaviours in homogeneous shoals provide several benefits to conspecifics, although mixed-species aggregations have been reported to often occur. Mixed aggregations may confer several beneficial effects such as antipredator and foraging ad...
Behavior, Animal Social Behavior Color Fishes Neon Phenotype Animals Robotics
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Plant phenotype relationship corpus for biomedical relationships between plants and phenotypes.

Scientific data May 26, 2022
Medicinal plants have demonstrated therapeutic potential for applicability for a wide range of observable characteristics in the human body, known as "phenotype," and have been considered favorably in clinical treatment. With an ever increasing inter...
PubMed Humans Plants, Medicinal Phenotype Natural Language Processing
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Development of a phenotype ontology for autism spectrum disorder by natural language processing on electronic health records.

Journal of neurodevelopmental disorders May 23, 2022
BACKGROUND: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by restricted, repetitive behavior, and impaired social communication and interactions. However, significant challenges remain in diagnosing and subtyp...
Humans Phenotype Natural Language Processing Autism Spectrum Disorder Vocabulary Electronic Health Records
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Machine learning phenomics (MLP) combining deep learning with time-lapse-microscopy for monitoring colorectal adenocarcinoma cells gene expression and drug-response.

Scientific reports May 20, 2022
High-throughput phenotyping is becoming increasingly available thanks to analytical and bioinformatics approaches that enable the use of very high-dimensional data and to the availability of dynamic models that link phenomena across levels: from gene...
Deep Learning Adenocarcinoma Gene Expression Phenotype Humans Time-Lapse Imaging Colorectal Neoplasms Microscopy Machine Learning Phenomics
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Selective chemical probes can untangle the complexity of the plant cell endomembrane system.

Current opinion in plant biology May 11, 2022
The endomembrane system is critical for plant growth and development and understanding its function and regulation is of great interest for plant biology research. Small-molecule targeting distinctive endomembrane components have proven powerful tool...
Plants Protein Transport Plant Cells Artificial Intelligence Phenotype
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Covariate adjustment of spirometric and smoking phenotypes: The potential of neural network models.

PloS one May 11, 2022
To increase power and minimize bias in statistical analyses, quantitative outcomes are often adjusted for precision and confounding variables using standard regression approaches. The outcome is modeled as a linear function of the precision variables...
Spirometry Forced Expiratory Volume Neural Networks, Computer Smoking Phenotype
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Reporting details of neuroimaging studies on individual traits prediction: A literature survey.

NeuroImage May 2, 2022
Using machine-learning tools to predict individual phenotypes from neuroimaging data is one of the most promising and hence dynamic fields in systems neuroscience. Here, we perform a literature survey of the rapidly work on phenotype prediction in he...
Connectome Phenotype Attention Machine Learning Algorithms Humans
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