AIMC Topic: Phenotype

Clear Filters Showing 411 to 420 of 920 articles

Artificial neural network based prediction of postthrombolysis intracerebral hemorrhage and death.

Scientific reports Nov 25, 2020
Despite the salient benefits of the intravenous tissue plasminogen activator (tPA), symptomatic intracerebral hemorrhage (sICH) remains a frequent complication and constitutes a major concern when treating acute ischemic stroke (AIS). This study expl...
Tissue Plasminogen Activator Cerebral Hemorrhage Humans Neural Networks, Computer Ischemic Stroke Male Phenotype Thrombolytic Therapy Cohort Studies Female ROC Curve Aged Treatment Outcome
View on PubMed DOI

Transforming the study of organisms: Phenomic data models and knowledge bases.

PLoS computational biology Nov 24, 2020
The rapidly decreasing cost of gene sequencing has resulted in a deluge of genomic data from across the tree of life; however, outside a few model organism databases, genomic data are limited in their scientific impact because they are not accompanie...
Humans Phenotype Animals Models, Statistical Classification Models, Biological Gene-Environment Interaction Ecosystem Knowledge Bases Phenomics Computational Biology Semantics Models, Genetic Databases, Genetic
View on PubMed DOI

Machine learning approaches reveal genomic regions associated with sugarcane brown rust resistance.

Scientific reports Nov 18, 2020
Sugarcane is an economically important crop, but its genomic complexity has hindered advances in molecular approaches for genetic breeding. New cultivars are released based on the identification of interesting traits, and for sugarcane, brown rust re...
Saccharum Plant Diseases Basidiomycota Disease Resistance Genome, Plant Quantitative Trait Loci Genes, Plant Chromosome Mapping Machine Learning Phenotype Genomics Genotype
View on PubMed DOI

DeepPheno: Predicting single gene loss-of-function phenotypes using an ontology-aware hierarchical classifier.

PLoS computational biology Nov 18, 2020
Predicting the phenotypes resulting from molecular perturbations is one of the key challenges in genetics. Both forward and reverse genetic screen are employed to identify the molecular mechanisms underlying phenotypes and disease, and these resulted...
Databases, Genetic Deep Learning Gene Ontology Genetic Predisposition to Disease Loss of Function Mutation Genetic Association Studies Humans Computational Biology Neural Networks, Computer Phenotype Animals
View on PubMed DOI

Genome-enabled prediction of reproductive traits in Nellore cattle using parametric models and machine learning methods.

Animal genetics Nov 16, 2020
This study aimed to assess the predictive ability of different machine learning (ML) methods for genomic prediction of reproductive traits in Nellore cattle. The studied traits were age at first calving (AFC), scrotal circumference (SC), early pregna...
Polymorphism, Single Nucleotide Models, Genetic Reproduction Brazil Cattle Genomics Machine Learning Phenotype Pregnancy Female Animals
View on PubMed DOI

Image-based phenotyping of disaggregated cells using deep learning.

Communications biology Nov 13, 2020
The ability to phenotype cells is fundamentally important in biological research and medicine. Current methods rely primarily on fluorescence labeling of specific markers. However, there are many situations where this approach is unavailable or undes...
Phenotype Deep Learning Cell Line, Tumor Single-Cell Analysis Image Processing, Computer-Assisted Microscopy, Fluorescence Cells Intracellular Space Humans
View on PubMed DOI

Machine Learned Cellular Phenotypes in Cardiomyopathy Predict Sudden Death.

Circulation research Nov 10, 2020
RATIONALE: Susceptibility to VT/VF (ventricular tachycardia/fibrillation) is difficult to predict in patients with ischemic cardiomyopathy either by clinical tools or by attempting to translate cellular mechanisms to the bedside.
Prognosis Female Risk Factors Aged Humans Neural Networks, Computer Phenotype Prospective Studies Diagnosis, Computer-Assisted Time Factors Support Vector Machine Action Potentials Aged, 80 and over Male Middle Aged Risk Assessment Electrophysiologic Techniques, Cardiac Tachycardia, Ventricular Predictive Value of Tests Cardiomyopathies Signal Processing, Computer-Assisted Ventricular Fibrillation Myocardial Infarction Death, Sudden, Cardiac
View on PubMed DOI

Interpretation of cluster structures in pain-related phenotype data using explainable artificial intelligence (XAI).

European journal of pain (London, England) Nov 3, 2020
BACKGROUND: In pain research and clinics, it is common practice to subgroup subjects according to shared pain characteristics. This is often achieved by computer-aided clustering. In response to a recent EU recommendation that computer-aided decision...
Algorithms Phenotype Cluster Analysis Pain Humans Artificial Intelligence Machine Learning
View on PubMed DOI

Transfer learning enables prediction of CYP2D6 haplotype function.

PLoS computational biology Nov 2, 2020
Cytochrome P450 2D6 (CYP2D6) is a highly polymorphic gene whose protein product metabolizes more than 20% of clinically used drugs. Genetic variations in CYP2D6 are responsible for interindividual heterogeneity in drug response that can lead to drug ...
Haplotypes Base Sequence Polymorphism, Genetic Pharmacogenomic Testing Pharmaceutical Preparations Humans Supervised Machine Learning Neural Networks, Computer Alleles Cytochrome P-450 CYP2D6 Phenotype Microsomes, Liver Computer Simulation Deep Learning Computational Biology DNA
View on PubMed DOI

Correlations Between Phenotypes and Biological Process Ontologies in Monogenic Human Diseases.

Interdisciplinary sciences, computational life sciences Oct 28, 2020
A substantial body of research is focused to improve the understanding of the relationship between genotypes and phenotypes. Genotype-phenotype studies have shown promise in improving disease diagnosis in humans and identification of specific clinica...
Databases, Genetic Humans Biological Ontologies Phenotype Gene Ontology Genetic Association Studies
View on PubMed DOI
Popular Topics
Recent Journals