AIMC Topic: Phenotype

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Forecasting beef production and quality using large-scale integrated data from Brazil.

Journal of animal science Apr 1, 2020
With agriculture rapidly becoming a data-driven field, it is imperative to extract useful information from large data collections to optimize the production systems. We compared the efficacy of regression (linear regression or generalized linear regr...
Commerce Animals Male Linear Models Brazil Climate Red Meat Farms Cattle Agriculture Phenotype Female Soil Machine Learning
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DeepPod: a convolutional neural network based quantification of fruit number in Arabidopsis.

GigaScience Mar 1, 2020
BACKGROUND: High-throughput phenotyping based on non-destructive imaging has great potential in plant biology and breeding programs. However, efficient feature extraction and quantification from image data remains a bottleneck that needs to be addres...
Phenotype Deep Learning Models, Genetic Fruit Software Quantitative Trait, Heritable Arabidopsis
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Systematic Review of Digital Phenotyping and Machine Learning in Psychosis Spectrum Illnesses.

Harvard review of psychiatry Jan 1, 2020
BACKGROUND: Digital phenotyping is the use of data from smartphones and wearables collected in situ for capturing a digital expression of human behaviors. Digital phenotyping techniques can be used to analyze both passively (e.g., sensor) and activel...
Humans Machine Learning Smartphone Schizophrenia Psychotic Disorders Data Collection Phenotype Wearable Electronic Devices Bipolar Disorder
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Technology-Based Objective Measures Detect Subclinical Axial Signs in Untreated, de novo Parkinson's Disease.

Journal of Parkinson's disease Jan 1, 2020
BACKGROUND: Technology-based objective measures (TOMs) recently gained relevance to support clinicians in the assessment of motor function in Parkinson's disease (PD), although limited data are available in the early phases.
Parkinson Disease Postural Balance Hypokinesia Pilot Projects Wearable Electronic Devices Support Vector Machine Tremor Gait Disorders, Neurologic Humans Phenotype Female Aged Male Middle Aged
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Identification of disease-associated loci using machine learning for genotype and network data integration.

Bioinformatics (Oxford, England) Dec 15, 2019
MOTIVATION: Integration of different omics data could markedly help to identify biological signatures, understand the missing heritability of complex diseases and ultimately achieve personalized medicine. Standard regression models used in Genome-Wid...
Gene Regulatory Networks Polymorphism, Single Nucleotide Genotype Machine Learning Phenotype Genome-Wide Association Study Humans
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A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography.

European heart journal Nov 14, 2019
BACKGROUND: Coronary inflammation induces dynamic changes in the balance between water and lipid content in perivascular adipose tissue (PVAT), as captured by perivascular Fat Attenuation Index (FAI) in standard coronary CT angiography (CCTA). Howeve...
Humans Machine Learning Follow-Up Studies Algorithms Adipose Tissue Phenotype Coronary Artery Disease Female Aged Computed Tomography Angiography Genetic Markers Gene Expression Profiling Plaque, Atherosclerotic Male Transcriptome Middle Aged Case-Control Studies Risk Assessment
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Data-driven method to enhance craniofacial and oral phenotype vocabularies.

Journal of the American Dental Association (1939) Nov 1, 2019
BACKGROUND: A significant amount of clinical information captured as free-text narratives could be better used for several applications, such as clinical decision support, ontology development, evidence-based practice, and research. The Human Phenoty...
Natural Language Processing Vocabulary Humans Phenotype Electronic Health Records Narration
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High-throughput multimodal automated phenotyping (MAP) with application to PheWAS.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Electronic health records linked with biorepositories are a powerful platform for translational studies. A major bottleneck exists in the ability to phenotype patients accurately and efficiently. The objective of this study was to develop ...
International Classification of Diseases Algorithms Unified Medical Language System Phenotype Humans Electronic Health Records Polymorphism, Single Nucleotide Natural Language Processing Area Under Curve
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The pan-genome of Saccharomyces cerevisiae.

FEMS yeast research Nov 1, 2019
Understanding genotype-phenotype relationship is fundamental in biology. With the benefit from next-generation sequencing and high-throughput phenotyping methodologies, there have been generated much genome and phenome data for Saccharomyces cerevisi...
Machine Learning Saccharomyces cerevisiae Gene Expression Regulation, Fungal Genome, Fungal Phenotype Genotype High-Throughput Nucleotide Sequencing
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Gene Ontology Causal Activity Modeling (GO-CAM) moves beyond GO annotations to structured descriptions of biological functions and systems.

Nature genetics Oct 1, 2019
To increase the utility of Gene Ontology annotations for interpretation of genome-wide experimental data, we have developed GO-CAM, a structured framework for linking multiple GO annotations into an integrated model of a biological system. We expect ...
Molecular Sequence Annotation Gene Ontology Signal Transduction Humans Databases, Genetic Phenotype Models, Biological Computational Biology
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