AIMC Topic: Genotyping Techniques
Clear Filters Showing 11 to 20 of 25 articles
A Cascaded Deep Convolutional Neural Network for Joint Segmentation and Genotype Prediction of Brainstem Gliomas.
IEEE transactions on bio-medical engineering
Jun 8, 2018
GOAL: Automatic segmentation of brainstem gliomas and prediction of genotype (H3 K27M) mutation status based on magnetic resonance (MR) images are crucial but challenging tasks for computer-aided diagnosis in neurosurgery. In this paper, we present a...
Machine Learning on a Genome-wide Association Study to Predict Late Genitourinary Toxicity After Prostate Radiation Therapy.
International journal of radiation oncology, biology, physics
Jan 31, 2018
PURPOSE: Late genitourinary (GU) toxicity after radiation therapy limits the quality of life of prostate cancer survivors; however, efforts to explain GU toxicity using patient and dose information have remained unsuccessful. We identified patients w...
Risk
Lower Urinary Tract Symptoms
Urinary Retention
Urination
Genotyping Techniques
Brachytherapy
Urination Disorders
Symptom Assessment
Urogenital System
Nocturia
Polymorphism, Single Nucleotide
Regression Analysis
Predictive Value of Tests
Area Under Curve
Prostatic Neoplasms
Androgen Antagonists
Confidence Intervals
Reproducibility of Results
Male
Quality of Life
Genome-Wide Association Study
Humans
Machine Learning
A genotypic method for determining HIV-2 coreceptor usage enables epidemiological studies and clinical decision support.
Retrovirology
Dec 20, 2016
BACKGROUND: CCR5-coreceptor antagonists can be used for treating HIV-2 infected individuals. Before initiating treatment with coreceptor antagonists, viral coreceptor usage should be determined to ensure that the virus can use only the CCR5 corecepto...
Predicting proprotein convertase subtilisin kexin type-9 loss of function mutations using plasma PCSK9 concentration.
Journal of clinical lipidology
Oct 3, 2016
BACKGROUND: Low plasma proprotein convertase subtilisin kexin type-9 (PCSK9) concentration has been associated with loss of function (LOF) PCSK9 mutations in several studies. However, the current standard for detection of these LOF mutations is throu...
Assessing and comparison of different machine learning methods in parent-offspring trios for genotype imputation.
Journal of theoretical biology
Apr 2, 2016
Genotype imputation is an important tool for prediction of unknown genotypes for both unrelated individuals and parent-offspring trios. Several imputation methods are available and can either employ universal machine learning methods, or deploy algor...
Automated Classification and Cluster Visualization of Genotypes Derived from High Resolution Melt Curves.
PloS one
Nov 25, 2015
INTRODUCTION: High Resolution Melting (HRM) following PCR has been used to identify DNA genotypes. Fluorescent dyes bounded to double strand DNA lose their fluorescence with increasing temperature, yielding different signatures for different genotype...
A Framework for Identifying Genotypic Information from Clinical Records: Exploiting Integrated Ontology Structures to Transfer Annotations between ICD Codes and Gene Ontologies.
IEEE/ACM transactions on computational biology and bioinformatics
Sep 18, 2015
Although some methods are proposed for automatic ontology generation, none of them address the issue of integrating large-scale heterogeneous biomedical ontologies. We propose a novel approach for integrating various types of ontologies efficiently a...
Characterizing root response phenotypes by neural network analysis.
Journal of experimental botany
May 26, 2015
Roots play an immediate role as the interface for water acquisition. To improve sustainability in low-water environments, breeders of major crops must therefore pay closer attention to advantageous root phenotypes; however, the complexity of root arc...
Hepatitis C Virus Saint Petersburg Variant Detection With Machine Learning Methods.
Journal of medical virology
Feb 1, 2025
Hepatitis C virus infection is a significant global health concern, affecting millions worldwide. Although direct-acting antivirals achieve over 90% success rate, treatment failures still occur, particularly when pan-genotypic DAAs are unavailable, a...
Noninvasive fetal genotyping using deep neural networks.
Briefings in bioinformatics
Nov 22, 2024
Circulating cell-free DNA (cfDNA) is a powerful diagnostics tool that is widely studied in the context of liquid biopsy in oncology and other fields. In obstetrics, maternal plasma cfDNA have already proven its utility, enabling noninvasive prenatal ...
Don't Miss the Future of Medicine
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