AIMC Topic: Phenotype

Clear Filters Showing 621 to 630 of 922 articles

Prediction of Human Phenotype Ontology terms by means of hierarchical ensemble methods.

BMC bioinformatics Oct 12, 2017
BACKGROUND: The prediction of human gene-abnormal phenotype associations is a fundamental step toward the discovery of novel genes associated with human disorders, especially when no genes are known to be associated with a specific disease. In this c...
Phenotype ROC Curve Genetic Association Studies Humans Algorithms Area Under Curve Biological Ontologies Molecular Sequence Annotation
View on PubMed DOI

Digging deep into Golgi phenotypic diversity with unsupervised machine learning.

Molecular biology of the cell Oct 11, 2017
The synthesis of glycans and the sorting of proteins are critical functions of the Golgi apparatus and depend on its highly complex and compartmentalized architecture. High-content image analysis coupled to RNA interference screening offers opportuni...
RNA Interference Unsupervised Machine Learning RNA, Small Interfering Polysaccharides Humans HeLa Cells Phenotype High-Throughput Screening Assays Reproducibility of Results Golgi Apparatus
View on PubMed DOI

A new synonym-substitution method to enrich the human phenotype ontology.

BMC bioinformatics Oct 10, 2017
BACKGROUND: Named entity recognition is critical for biomedical text mining, where it is not unusual to find entities labeled by a wide range of different terms. Nowadays, ontologies are one of the crucial enabling technologies in bioinformatics, pro...
Data Mining Semantics Biological Ontologies Humans Phenotype
View on PubMed DOI

Recapitulation of Ayurveda constitution types by machine learning of phenotypic traits.

PloS one Oct 5, 2017
In Ayurveda system of medicine individuals are classified into seven constitution types, "Prakriti", for assessing disease susceptibility and drug responsiveness. Prakriti evaluation involves clinical examination including questions about physiologic...
Disease Susceptibility Precision Medicine Medicine, Ayurvedic Surveys and Questionnaires Humans India Machine Learning Phenotype
View on PubMed DOI

Phenotype Prediction from Metagenomic Data Using Clustering and Assembly with Multiple Instance Learning (CAMIL).

IEEE/ACM transactions on computational biology and bioinformatics Oct 4, 2017
The recent advent of Metagenome Wide Association Studies (MGWAS) provides insight into the role of microbes on human health and disease. However, the studies present several computational challenges. In this paper, we demonstrate a novel, efficient, ...
Cluster Analysis Metagenomics Metagenome Humans Machine Learning Phenotype
View on PubMed DOI

Single Nucleotide Polymorphism relevance learning with Random Forests for Type 2 diabetes risk prediction.

Artificial intelligence in medicine Sep 22, 2017
OBJECTIVE: The use of artificial intelligence techniques to find out which Single Nucleotide Polymorphisms (SNPs) promote the development of a disease is one of the features of medical research, as such techniques may potentially aid early diagnosis ...
Polymorphism, Single Nucleotide Logistic Models Support Vector Machine Decision Support Systems, Clinical Diabetes Mellitus, Type 2 Genetic Predisposition to Disease Decision Trees Decision Support Techniques Phenotype Prognosis Clinical Decision-Making Risk Factors Risk Assessment Humans
View on PubMed DOI

Mimvec: a deep learning approach for analyzing the human phenome.

BMC systems biology Sep 21, 2017
BACKGROUND: The human phenome has been widely used with a variety of genomic data sources in the inference of disease genes. However, most existing methods thus far derive phenotype similarity based on the analysis of biomedical databases by using th...
Disease Inheritance Patterns Computational Biology Databases, Genetic Natural Language Processing Humans Machine Learning Phenotype
View on PubMed DOI

Investigations on factors influencing HPO-based semantic similarity calculation.

Journal of biomedical semantics Sep 20, 2017
BACKGROUND: Although disease diagnosis has greatly benefited from next generation sequencing technologies, it is still difficult to make the right diagnosis purely based on sequencing technologies for many diseases with complex phenotypes and high ge...
Algorithms Phenotype Computational Biology Humans Semantics Biological Ontologies Molecular Sequence Annotation
View on PubMed DOI

Machine-learning phenotypic classification of bicuspid aortopathy.

The Journal of thoracic and cardiovascular surgery Sep 14, 2017
BACKGROUND: Bicuspid aortic valves (BAV) are associated with incompletely characterized aortopathy. Our objectives were to identify distinct patterns of aortopathy using machine-learning methods and characterize their association with valve morpholog...
Middle Aged Diagnosis, Computer-Assisted Aortic Valve Stenosis Aortic Valve Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Aortic Aneurysm Adult Aortography Cross-Sectional Studies Humans Sinus of Valsalva Pattern Recognition, Automated Male Machine Learning Aorta, Thoracic Female Phenotype Computed Tomography Angiography Reproducibility of Results Aged Aortic Valve Insufficiency Bicuspid Aortic Valve Disease Heart Valve Diseases
View on PubMed DOI

Discovering associations between adverse drug events using pattern structures and ontologies.

Journal of biomedical semantics Aug 22, 2017
BACKGROUND: Patient data, such as electronic health records or adverse event reporting systems, constitute an essential resource for studying Adverse Drug Events (ADEs). We explore an original approach to identify frequently associated ADEs in subgro...
Biological Ontologies Humans Phenotype Pattern Recognition, Automated Electronic Health Records Drug-Related Side Effects and Adverse Reactions
View on PubMed DOI
Popular Topics
Recent Journals