AIMC Topic: High-Throughput Nucleotide Sequencing
Clear Filters Showing 81 to 90 of 316 articles
[Moving towards a personalized oncology: The contribution of genomic techniques and artificial intelligence in the use of circulating tumor biomarkers].
Bulletin du cancer
Jan 13, 2022
Technological advances, in particular the development of high-throughput sequencing, have led to the emergence of a new generation of molecular biomarkers for tumors. These new tools have profoundly changed therapeutic management in oncology, with in...
NGS read classification using AI.
PloS one
Dec 22, 2021
Clinical metagenomics is a powerful diagnostic tool, as it offers an open view into all DNA in a patient's sample. This allows the detection of pathogens that would slip through the cracks of classical specific assays. However, due to this unspecific...
DNN-Boost: Somatic mutation identification of tumor-only whole-exome sequencing data using deep neural network and XGBoost.
Journal of bioinformatics and computational biology
Dec 13, 2021
Detection of somatic mutation in whole-exome sequencing data can help elucidate the mechanism of tumor progression. Most computational approaches require exome sequencing for both tumor and normal samples. However, it is more common to sequence exome...
GapPredict - A Language Model for Resolving Gaps in Draft Genome Assemblies.
IEEE/ACM transactions on computational biology and bioinformatics
Dec 8, 2021
Short-read DNA sequencing instruments can yield over 10 bases per run, typically composed of reads 150 bases long. Despite this high throughput, de novo assembly algorithms have difficulty reconstructing contiguous genome sequences using short reads ...
BreakNet: detecting deletions using long reads and a deep learning approach.
BMC bioinformatics
Dec 2, 2021
BACKGROUND: Structural variations (SVs) occupy a prominent position in human genetic diversity, and deletions form an important type of SV that has been suggested to be associated with genetic diseases. Although various deletion calling methods based...
Machine learning of genomic features in organotropic metastases stratifies progression risk of primary tumors.
Nature communications
Nov 18, 2021
Metastatic cancer is associated with poor patient prognosis but its spatiotemporal behavior remains unpredictable at early stage. Here we develop MetaNet, a computational framework that integrates clinical and sequencing data from 32,176 primary and ...
MitoScape: A big-data, machine-learning platform for obtaining mitochondrial DNA from next-generation sequencing data.
PLoS computational biology
Nov 11, 2021
The growing number of next-generation sequencing (NGS) data presents a unique opportunity to study the combined impact of mitochondrial and nuclear-encoded genetic variation in complex disease. Mitochondrial DNA variants and in particular, heteroplas...
Machine learning random forest for predicting oncosomatic variant NGS analysis.
Scientific reports
Nov 8, 2021
Since 2017, we have used IonTorrent NGS platform in our hospital to diagnose and treat cancer. Analyzing variants at each run requires considerable time, and we are still struggling with some variants that appear correct on the metrics at first, but ...
An explainable artificial intelligence approach for decoding the enhancer histone modifications code and identification of novel enhancers in Drosophila.
Genome biology
Nov 8, 2021
BACKGROUND: Enhancers are non-coding regions of the genome that control the activity of target genes. Recent efforts to identify active enhancers experimentally and in silico have proven effective. While these tools can predict the locations of enhan...
The viral expression and immune status in human cancers and insights into novel biomarkers of immunotherapy.
BMC cancer
Nov 5, 2021
BACKGROUND: Viral infections are prevalent in human cancers and they have great diagnostic and theranostic values in clinical practice. Recently, their potential of shaping the tumor immune microenvironment (TIME) has been related to the immunotherap...
High-Throughput Nucleotide Sequencing
Genome, Viral
Tumor Virus Infections
Kaplan-Meier Estimate
Mutation
Leukocytes
Genetic Variation
Papillomaviridae
Oncogenic Viruses
Immunotherapy
Papillomavirus Infections
Squamous Cell Carcinoma of Head and Neck
Head and Neck Neoplasms
Support Vector Machine
DNA, Viral
Biomarkers, Tumor
Epstein-Barr Virus Infections
Neoplasms
Herpesvirus 4, Human
Humans
Machine Learning
Transcriptome
Stomach Neoplasms
RNA-Seq
Tumor Microenvironment
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