AIMC Topic: Whole Genome Sequencing
Clear Filters Showing 61 to 70 of 71 articles
Scalable de novo classification of antibiotic resistance of Mycobacterium tuberculosis.
Bioinformatics (Oxford, England)
Jun 28, 2024
MOTIVATION: World Health Organization estimates that there were over 10 million cases of tuberculosis (TB) worldwide in 2019, resulting in over 1.4 million deaths, with a worrisome increasing trend yearly. The disease is caused by Mycobacterium tuber...
A deep learning approach for filtering structural variants in short read sequencing data.
Briefings in bioinformatics
Jul 20, 2021
Short read whole genome sequencing has become widely used to detect structural variants in human genetic studies and clinical practices. However, accurate detection of structural variants is a challenging task. Especially existing structural variant ...
Pathogenic potential assessment of the Shiga toxin-producing by a source attribution-considered machine learning model.
Proceedings of the National Academy of Sciences of the United States of America
May 18, 2021
Instead of conventional serotyping and virulence gene combination methods, methods have been developed to evaluate the pathogenic potential of newly emerging pathogens. Among them, the machine learning (ML)-based method using whole-genome sequencing ...
[Application of the artificial intelligence-rapid whole-genome sequencing diagnostic system in the neonatal/pediatric intensive care unit].
Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics
May 1, 2021
Pediatric patients in the neonatal intensive care unit (NICU) and the pediatric intensive care unit (PICU) have a high incidence rate of genetic diseases, and early rapid etiological diagnosis and targeted interventions can help to reduce mortality o...
Predicting Host Association for Shiga Toxin-Producing E. coli Serogroups by Machine Learning.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2021
Escherichia coli is a species of bacteria that can be present in a wide variety of mammalian hosts and potentially soil environments. E. coli has an open genome and can show considerable diversity in gene content between isolates. It is a reasonable ...
A guide to machine learning for bacterial host attribution using genome sequence data.
Microbial genomics
Dec 1, 2019
With the ever-expanding number of available sequences from bacterial genomes, and the expectation that this data type will be the primary one generated from both diagnostic and research laboratories for the foreseeable future, then there is both an o...
Encoding Clinical Data with the Human Phenotype Ontology for Computational Differential Diagnostics.
Current protocols in human genetics
Sep 1, 2019
The Human Phenotype Ontology (HPO) is a standardized set of phenotypic terms that are organized in a hierarchical fashion. It is a widely used resource for capturing human disease phenotypes for computational analysis to support differential diagnost...
The Kipoi repository accelerates community exchange and reuse of predictive models for genomics.
Nature biotechnology
Jun 1, 2019
Expansion of the Human Phenotype Ontology (HPO) knowledge base and resources.
Nucleic acids research
Jan 8, 2019
The Human Phenotype Ontology (HPO)-a standardized vocabulary of phenotypic abnormalities associated with 7000+ diseases-is used by thousands of researchers, clinicians, informaticians and electronic health record systems around the world. Its detaile...
Outgroup Machine Learning Approach Identifies Single Nucleotide Variants in Noncoding DNA Associated with Autism Spectrum Disorder.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Jan 1, 2019
Autism spectrum disorder (ASD) is a heritable neurodevelopmental disorder affecting 1 in 59 children. While noncoding genetic variation has been shown to play a major role in many complex disorders, the contribution of these regions to ASD susceptibi...
DNA
Whole Genome Sequencing
Genetic Variation
CpG Islands
Computational Biology
Logistic Models
MicroRNAs
Case-Control Studies
RNA, Untranslated
Cohort Studies
Microsatellite Repeats
Autism Spectrum Disorder
Child
Supranuclear Palsy, Progressive
Female
Polymorphism, Single Nucleotide
Gene Regulatory Networks
Male
Genetic Association Studies
Genetic Predisposition to Disease
Humans
Machine Learning
Phenotype
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 30978
- Neural Networks, Computer 29696
- Algorithms 26813
- Deep Learning 26324
- Artificial Intelligence 24267
- Robotics 13307
- Image Processing, Computer-Assisted 9512
- Retrospective Studies 9097
- Magnetic Resonance Imaging 6173
- Reproducibility of Results 5589
- Tomography, X-Ray Computed 4765
- Support Vector Machine 4678
- Computational Biology 4229
- Brain 4045
- Computer Simulation 3877
Recent Journals
- Scientific reports 5865
- Sensors (Basel, Switzerland) 4794
- PloS one 4011
- Neural networks : the official journal of the International Neural Network Society 2928
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1839
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1129
- Journal of chemical information and modeling 994
- Nature communications 938
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 861
- Briefings in bioinformatics 850
- IEEE transactions on neural networks and learning systems 823