AIMC Topic: Phenotype

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Data mining and machine learning approaches for the integration of genome-wide association and methylation data: methodology and main conclusions from GAW20.

BMC genetics Sep 17, 2018
BACKGROUND: Multiple layers of genetic and epigenetic variability are being simultaneously explored in an increasing number of health studies. We summarize here different approaches applied in the Data Mining and Machine Learning group at the GAW20 t...
Humans Machine Learning Phenotype Genome-Wide Association Study CpG Islands DNA Methylation Cluster Analysis Data Mining
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Pheno-Deep Counter: a unified and versatile deep learning architecture for leaf counting.

The Plant journal : for cell and molecular biology Sep 11, 2018
Direct observation of morphological plant traits is tedious and a bottleneck for high-throughput phenotyping. Hence, interest in image-based analysis is increasing, with the requirement for software that can reliably extract plant traits, such as lea...
Deep Learning Machine Learning Image Processing, Computer-Assisted Software Plant Leaves Phenotype Plants
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Digital Diabetes Data and Artificial Intelligence: A Time for Humility Not Hubris.

Journal of diabetes science and technology Sep 5, 2018
In the future artificial intelligence (AI) will have the potential to improve outcomes diabetes care. With the creation of new sensors for physiological monitoring sensors and the introduction of smart insulin pens, novel data relationships based on ...
Precision Medicine Healthcare Disparities Language Access to Information Reproducibility of Results Racial Groups Computational Biology Ethnicity Public Health Humans Data Collection Big Data Artificial Intelligence Diabetes Mellitus, Type 1 Decision Support Systems, Clinical Phenotype Decision Making Diabetes Mellitus, Type 2 Genotype
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RNA-seq analysis reveals different gene ontologies and pathways in rheumatoid arthritis and Kashin-Beck disease.

International journal of rheumatic diseases Sep 5, 2018
AIMS: To understand the pathogenesis of cartilage damage in Kashin-Beck disease (KBD) and rheumatoid arthritis (RA) which similar clinical symptoms.
Signal Transduction Databases, Genetic Proteoglycans RNA Arthritis, Rheumatoid Genetic Predisposition to Disease Sequence Analysis, RNA Inflammation Mediators Cartilage Gene Ontology Kashin-Beck Disease Humans Phenotype Female Aged Male Middle Aged Gene Regulatory Networks
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Identification of a Novel Clinical Phenotype of Severe Malaria using a Network-Based Clustering Approach.

Scientific reports Aug 27, 2018
The parasite Plasmodium falciparum is the main cause of severe malaria (SM). Despite treatment with antimalarial drugs, more than 400,000 deaths are reported every year, mainly in African children. The diversity of clinical presentations associated w...
Humans Neural Networks, Computer Plasmodium falciparum Male Malaria Phenotype Severity of Illness Index Anemia Biomarkers Child, Preschool Malaria, Falciparum Female Child
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Artificial neural networks help to identify disease subsets and to predict lymphoma in primary Sjögren's syndrome.

Clinical and experimental rheumatology Aug 14, 2018
OBJECTIVES: Primary Sjögren's syndrome (pSS) is a complex chronic systemic disorder, for which specific and effective therapeutic interventions are still lacking. In this era of precision medicine, there is a clear need for a better definition of dis...
Predictive Value of Tests Principal Component Analysis Autoantibodies Reproducibility of Results Phenotype Male Diagnosis, Computer-Assisted Risk Factors Humans Serologic Tests Data Mining Biomarkers Middle Aged Lymphoma Aged Sjogren's Syndrome Neural Networks, Computer Prognosis Disease Progression Diagnosis, Differential Decision Support Techniques Female Severity of Illness Index
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DeepSort: deep convolutional networks for sorting haploid maize seeds.

BMC bioinformatics Aug 13, 2018
BACKGROUND: Maize is a leading crop in the modern agricultural industry that accounts for more than 40% grain production worldwide. THe double haploid technique that uses fewer breeding generations for generating a maize line has accelerated the pace...
Phenotype Genotype Seeds Zea mays Haploidy Neural Networks, Computer Plant Breeding Algorithms
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Deep Learning for Plant Stress Phenotyping: Trends and Future Perspectives.

Trends in plant science Aug 10, 2018
Deep learning (DL), a subset of machine learning approaches, has emerged as a versatile tool to assimilate large amounts of heterogeneous data and provide reliable predictions of complex and uncertain phenomena. These tools are increasingly being use...
Botany Phenotype Deep Learning Stress, Physiological Plant Physiological Phenomena
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Fusion of encoder-decoder deep networks improves delineation of multiple nuclear phenotypes.

BMC bioinformatics Aug 7, 2018
BACKGROUND: Nuclear segmentation is an important step for profiling aberrant regions of histology sections. If nuclear segmentation can be resolved, then new biomarkers of nuclear phenotypes and their organization can be predicted for the application...
Cell Nucleus Algorithms Phenotype Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Crowdsourcing image analysis for plant phenomics to generate ground truth data for machine learning.

PLoS computational biology Jul 30, 2018
The accuracy of machine learning tasks critically depends on high quality ground truth data. Therefore, in many cases, producing good ground truth data typically involves trained professionals; however, this can be costly in time, effort, and money. ...
Food Supply Algorithms Crowdsourcing Phenotype Internet Pilot Projects Humans Data Accuracy Image Processing, Computer-Assisted Machine Learning Crops, Agricultural
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