AIMC Topic: Phenotype

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A split-and-merge deep learning approach for phenotype prediction.

Frontiers in bioscience (Landmark edition) Mar 4, 2022
BACKGROUND: Phenotype prediction with genome-wide markers is a critical but difficult problem in biomedical research due to many issues such as nonlinearity of the underlying genetic mapping and high-dimensionality of marker data. When using the deep...
Neural Networks, Computer Phenotype Deep Learning
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DeepSVP: integration of genotype and phenotype for structural variant prioritization using deep learning.

Bioinformatics (Oxford, England) Mar 4, 2022
MOTIVATION: Structural genomic variants account for much of human variability and are involved in several diseases. Structural variants are complex and may affect coding regions of multiple genes, or affect the functions of genomic regions in differe...
Genomics Genotype Nucleotides Phenotype Deep Learning Humans
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Machine Learning Identifies Digital Phenotyping Measures Most Relevant to Negative Symptoms in Psychotic Disorders: Implications for Clinical Trials.

Schizophrenia bulletin Mar 1, 2022
BACKGROUND: Digital phenotyping has been proposed as a novel assessment tool for clinical trials targeting negative symptoms in psychotic disorders (PDs). However, it is unclear which digital phenotyping measurements are most appropriate for this pur...
Female Humans Adult Machine Learning Phenotype Psychotic Disorders Male Weights and Measures Middle Aged
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Neural network-based integration of polygenic and clinical information: development and validation of a prediction model for 10-year risk of major adverse cardiac events in the UK Biobank cohort.

The Lancet. Digital health Feb 1, 2022
BACKGROUND: In primary cardiovascular disease prevention, early identification of high-risk individuals is crucial. Genetic information allows for the stratification of genetic predispositions and lifetime risk of cardiovascular disease. However, tow...
Genotype Predictive Value of Tests Cardiovascular Diseases Risk Assessment Heart Disease Risk Factors United Kingdom Humans Neural Networks, Computer Phenotype
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Advances in Deep Neuropathological Phenotyping of Alzheimer Disease: Past, Present, and Future.

Journal of neuropathology and experimental neurology Jan 21, 2022
Alzheimer disease (AD) is a neurodegenerative disorder characterized pathologically by the presence of neurofibrillary tangles and amyloid beta (Aβ) plaques in the brain. The disease was first described in 1906 by Alois Alzheimer, and since then, the...
Machine Learning Phenotype Alzheimer Disease Neuropathology Humans
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Automated Classification of Cellular Phenotypes Using Machine Learning in Cellprofiler and CellProfiler Analyst.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2022
Cell images provide a multitude of phenotypic information, which in its entirety the human eye can hardly perceive. Automated image analysis and machine learning approaches enable the unbiased identification and analysis of cellular mechanisms and as...
Phenotype Image Processing, Computer-Assisted Machine Learning Software
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Machine Learning for Image Analysis: Leaf Disease Segmentation.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2022
Plant phenomics field has seen a great increase in scalability in the last decade mainly due to technological advances in remote sensors and phenotyping platforms. These are capable of screening thousands of plants many times throughout the day, gene...
Neural Networks, Computer Phenomics Phenotype Plant Leaves Machine Learning
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Technical and practical aspects of artificial intelligence in cardiology.

Bratislavske lekarske listy Jan 1, 2022
Artificial intelligence (AI) is here to stay. It is not a future anymore, and there are many particular problems in cardiology that are already being solved via machine learning (ML), and many more are to come. AI cannot solve complex tasks yet, and ...
Cardiology Algorithms Phenotype Artificial Intelligence Machine Learning
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Influenza virus genotype to phenotype predictions through machine learning: a systematic review.

Emerging microbes & infections Dec 1, 2021
BACKGROUND: There is great interest in understanding the viral genomic predictors of phenotypic traits that allow influenza A viruses to adapt to or become more virulent in different hosts. Machine learning techniques have demonstrated promise in add...
Humans Drug Resistance, Viral Machine Learning Genome, Viral Influenza A virus Algorithms Genotype Phenotype
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A machine learning framework to predict antibiotic resistance traits and yet unknown genes underlying resistance to specific antibiotics in bacterial strains.

Briefings in bioinformatics Nov 5, 2021
Recently, the frequency of observing bacterial strains without known genetic components underlying phenotypic resistance to antibiotics has increased. There are several strains of bacteria lacking known resistance genes; however, they demonstrate res...
Bacteria Drug Resistance, Bacterial Computational Biology Phenotype Algorithms Reproducibility of Results Machine Learning Anti-Bacterial Agents Genotype
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