AIMC Topic: Phenotype

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MegaR: an interactive R package for rapid sample classification and phenotype prediction using metagenome profiles and machine learning.

BMC bioinformatics Jan 18, 2021
BACKGROUND: Diverse microbiome communities drive biogeochemical processes and evolution of animals in their ecosystems. Many microbiome projects have demonstrated the power of using metagenomics to understand the structures and factors influencing th...
Humans Machine Learning Metagenomics Metagenome Phenotype RNA, Ribosomal, 16S
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A review of deep learning applications for genomic selection.

BMC genomics Jan 6, 2021
BACKGROUND: Several conventional genomic Bayesian (or no Bayesian) prediction methods have been proposed including the standard additive genetic effect model for which the variance components are estimated with mixed model equations. In recent years,...
Genomics Models, Genetic Bayes Theorem Selection, Genetic Phenotype Animals Deep Learning Genome
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Automated Counting Grains on the Rice Panicle Based on Deep Learning Method.

Sensors (Basel, Switzerland) Jan 4, 2021
Grain number per rice panicle, which directly determines grain yield, is an important agronomic trait for rice breeding and yield-related research. However, manually counting grains of rice per panicle is time-consuming, laborious, and error-prone. I...
Edible Grain Oryza Phenotype Automation Deep Learning Plant Breeding
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Evolution of drug resistance in HIV protease.

BMC bioinformatics Dec 30, 2020
BACKGROUND: Drug resistance is a critical problem limiting effective antiviral therapy for HIV/AIDS. Computational techniques for predicting drug resistance profiles from genomic data can accelerate the appropriate choice of therapy. These techniques...
Machine Learning Phenotype Humans HIV-1 HIV Infections HIV Protease Drug Resistance, Viral Genotype HIV Protease Inhibitors Evolution, Molecular
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Machine learning approaches for crop improvement: Leveraging phenotypic and genotypic big data.

Journal of plant physiology Dec 29, 2020
Highly efficient and accurate selection of elite genotypes can lead to dramatic shortening of the breeding cycle in major crops relevant for sustaining present demands for food, feed, and fuel. In contrast to classical approaches that emphasize the n...
Genotype Phenotype Machine Learning Big Data Genomics Crops, Agricultural Genome, Plant Plant Breeding
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C-Norm: a neural approach to few-shot entity normalization.

BMC bioinformatics Dec 29, 2020
BACKGROUND: Entity normalization is an important information extraction task which has gained renewed attention in the last decade, particularly in the biomedical and life science domains. In these domains, and more generally in all specialized domai...
Humans Confidence Intervals Neural Networks, Computer Databases as Topic Machine Learning Knowledge Ecosystem Algorithms Bacteria Phenotype
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Ontological representation, classification and data-driven computing of phenotypes.

Journal of biomedical semantics Dec 21, 2020
BACKGROUND: The successful determination and analysis of phenotypes plays a key role in the diagnostic process, the evaluation of risk factors and the recruitment of participants for clinical and epidemiological studies. The development of computable...
Models, Theoretical Medical Informatics Semantics Biological Ontologies Medical Records Systems, Computerized Humans Algorithms Phenotype
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Artificial Intelligence in Coronary Computed Tomography Angiography: From Anatomy to Prognosis.

BioMed research international Dec 16, 2020
Cardiac computed tomography angiography (CCTA) is widely used as a diagnostic tool for evaluation of coronary artery disease (CAD). Despite the excellent capability to rule-out CAD, CCTA may overestimate the degree of stenosis; furthermore, CCTA anal...
Coronary Stenosis Fractional Flow Reserve, Myocardial Risk Plaque, Atherosclerotic Computed Tomography Angiography Middle Aged Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Coronary Vessels Myocardial Ischemia Coronary Artery Disease Calcium Humans Artificial Intelligence Algorithms Machine Learning Phenotype Prognosis
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Five novel clinical phenotypes for critically ill patients with mechanical ventilation in intensive care units: a retrospective and multi database study.

Respiratory research Dec 10, 2020
BACKGROUND: Although protective mechanical ventilation (MV) has been used in a variety of applications, lung injury may occur in both patients with and without acute respiratory distress syndrome (ARDS). The purpose of this study is to use machine le...
Retrospective Studies Critical Illness Intensive Care Units Decision Support Techniques Phenotype Databases, Factual Aged Adult Male Middle Aged Female Reproducibility of Results Risk Factors Humans Machine Learning Ventilator-Induced Lung Injury Treatment Outcome Risk Assessment Health Status Respiration, Artificial Predictive Value of Tests Lung
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Recognized trophoblast-like cells conversion from human embryonic stem cells by BMP4 based on convolutional neural network.

Reproductive toxicology (Elmsford, N.Y.) Nov 26, 2020
The use of models of stem cell differentiation to trophoblastic cells provides an effective perspective for understanding the early molecular events in the establishment and maintenance of human pregnancy. In combination with the newly developed deep...
Humans Cell Differentiation Gene Expression Regulation Microscopy, Phase-Contrast Neural Networks, Computer Human Embryonic Stem Cells Bone Morphogenetic Protein 4 Trophoblasts Cells, Cultured Phenotype
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