AIMC Topic: Genetic Association Studies

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StressGenePred: a twin prediction model architecture for classifying the stress types of samples and discovering stress-related genes in arabidopsis.

BMC genomics Dec 20, 2019
BACKGROUND: Recently, a number of studies have been conducted to investigate how plants respond to stress at the cellular molecular level by measuring gene expression profiles over time. As a result, a set of time-series gene expression data for the ...
Models, Biological Stress, Physiological Genes, Plant Arabidopsis Gene Expression Profiling Transcriptome Genetic Association Studies Computational Biology Neural Networks, Computer Machine Learning Phenotype
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Analysis of disease comorbidity patterns in a large-scale China population.

BMC medical genomics Dec 12, 2019
BACKGROUND: Disease comorbidity is popular and has significant indications for disease progress and management. We aim to detect the general disease comorbidity patterns in Chinese populations using a large-scale clinical data set.
Models, Theoretical Hypertension Data Mining Comorbidity China Genetic Predisposition to Disease Genetic Association Studies Algorithms Mental Disorders Prognosis Humans Machine Learning
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Hyperspectral imaging combined with machine learning as a tool to obtain high-throughput plant salt-stress phenotyping.

The Plant journal : for cell and molecular biology Dec 9, 2019
The rapid selection of salinity-tolerant crops to increase food production in salinized lands is important for sustainable agriculture. Recently, high-throughput plant phenotyping technologies have been adopted that use plant morphological and physio...
Machine Learning Phenotype Crops, Agricultural Hyperspectral Imaging Crop Production Deep Learning Salt Stress Genetic Association Studies Salt-Tolerant Plants Abelmoschus High-Throughput Screening Assays
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Artificial intelligence in clinical and genomic diagnostics.

Genome medicine Nov 19, 2019
Artificial intelligence (AI) is the development of computer systems that are able to perform tasks that normally require human intelligence. Advances in AI software and hardware, especially deep learning algorithms and the graphics processing units (...
Humans Neural Networks, Computer Genomics Genetic Association Studies Computational Biology Molecular Diagnostic Techniques Genetics, Medical Artificial Intelligence Algorithms Phenotype Deep Learning Molecular Sequence Annotation
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A comparison of machine learning classifiers for dementia with Lewy bodies using miRNA expression data.

BMC medical genomics Oct 30, 2019
BACKGROUND: Dementia with Lewy bodies (DLB) is the second most common subtype of neurodegenerative dementia in humans following Alzheimer's disease (AD). Present clinical diagnosis of DLB has high specificity and low sensitivity and finding potential...
Risk bcl-X Protein Signal Transduction MicroRNAs Phosphatidylinositol 3-Kinases Lewy Body Disease Machine Learning Biomarkers Female Aged Dementia Polymorphism, Single Nucleotide Genetic Association Studies Male Case-Control Studies Humans
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Formal Medical Knowledge Representation Supports Deep Learning Algorithms, Bioinformatics Pipelines, Genomics Data Analysis, and Big Data Processes.

Yearbook of medical informatics Aug 16, 2019
OBJECTIVE: To select, present, and summarize the best papers published in 2018 in the field of Knowledge Representation and Management (KRM).
Semantics Genomics Biological Ontologies Genetic Association Studies Knowledge Management Computational Biology Data Analysis Data Mining Deep Learning Artificial Intelligence Big Data
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HPO2Vec+: Leveraging heterogeneous knowledge resources to enrich node embeddings for the Human Phenotype Ontology.

Journal of biomedical informatics Jun 27, 2019
BACKGROUND: In precision medicine, deep phenotyping is defined as the precise and comprehensive analysis of phenotypic abnormalities, aiming to acquire a better understanding of the natural history of a disease and its genotype-phenotype associations...
Area Under Curve Humans Machine Learning Medical Informatics Semantics Algorithms Biological Ontologies ROC Curve Rare Diseases Phenotype Genetic Association Studies Computer Simulation Databases, Genetic Precision Medicine Models, Statistical Electronic Health Records
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Whole-genome deep-learning analysis identifies contribution of noncoding mutations to autism risk.

Nature genetics May 27, 2019
We address the challenge of detecting the contribution of noncoding mutations to disease with a deep-learning-based framework that predicts the specific regulatory effects and the deleterious impact of genetic variants. Applying this framework to 1,7...
Deep Learning Genomics RNA Processing, Post-Transcriptional Genetic Predisposition to Disease Genetic Association Studies Humans Algorithms Phenotype Gene Expression Regulation Computational Biology Transcription, Genetic Autism Spectrum Disorder Genome, Human Gene Expression RNA, Untranslated Mutation Genes, Reporter Alleles
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New Deep Learning Genomic-Based Prediction Model for Multiple Traits with Binary, Ordinal, and Continuous Phenotypes.

G3 (Bethesda, Md.) May 7, 2019
Multiple-trait experiments with mixed phenotypes (binary, ordinal and continuous) are not rare in animal and plant breeding programs. However, there is a lack of statistical models that can exploit the correlation between traits with mixed phenotypes...
Models, Genetic Selection, Genetic Genome Genome, Plant Quantitative Trait, Heritable Plant Breeding Deep Learning Genomics Genotype Algorithms Genetic Association Studies Phenotype Reproducibility of Results
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Building the drug-GO function network to screen significant candidate drugs for myasthenia gravis.

PloS one Apr 4, 2019
Myasthenia gravis (MG) is an autoimmune disease. In recent years, considerable evidence has indicated that Gene Ontology (GO) functions, especially GO-biological processes, have important effects on the mechanisms and treatments of different diseases...
Adalimumab Glucosamine Carnosine Organometallic Compounds Immunosuppressive Agents Gene Ontology Humans Databases, Pharmaceutical Drug Repositioning Myasthenia Gravis Gene Regulatory Networks Thalidomide Pharmacogenomic Testing Genetic Association Studies Zinc Compounds Etanercept Databases, Genetic
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