Article

Genomic image representation of human coronavirus sequences for COVID-19 detection

2022-08-22

Abstract excerpt

Coronavirus (CoV) disease 2019 (COVID-19) is a severe pandemic affecting millions worldwide. Due to its rapid evolution, researchers have been working on developing diagnostic approaches to suppress its spread. This study presents an effective automated approach based on genomic image processing (GIP) techniques to rapidly detect COVID-19, among other human CoV diseases, with high acceptable accuracy. The GIP tech...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: f8ab0c91-935e-5ca1-9aa5-ff85d02c9455
DOI: 10.1016/j.aej.2022.08.023

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Genomic image representation of human coronavirus sequences for COVID-19 detectionDOI 10.1016/j.aej.2022.08.023Read

A high performance prediction of HPV genotypes by Chaos game representation and singular value decomposition.Semantic proximity Read

A diagnostic genomic signal processing (GSP)-based system for automatic feature analysis and detection of COVID-19Semantic proximity Read

Different genomic representations of novel pathogens base on signal processing algorithms: COVID-19 case studySemantic proximity Read

A Visual Framework of Meta Genomic Analysis on Variations of Whole SARS-CoV-2 SequencesSemantic proximity Read

A new COVID-19 detection method from human genome sequences using CpG island features and KNN classifierSemantic proximity Read

Enabling Artificial Intelligence for Genome Sequence Analysis of COVID-19 and Alike VirusesSemantic proximity Read

New proposal of viral genome representation applied in the classification of SARS-CoV-2 with deep learningSemantic proximity Read

Infrared Image Method for Possible COVID-19 Detection Through Febrile and Subfebrile People ScreeningSemantic proximity Read

Visual Representation of SARS-CoV-2 Genomes in Multiple Regions on Integrated MapsSemantic proximity Read

Social-Group-Optimization Assisted Kapur’s Entropy and Morphological Segmentation for Automated Detection of COVID-19 Infection from Computed Tomography ImagesSemantic proximity Read

Alignment-free machine learning approaches for the lethality prediction of potential novel human-adapted coronavirus using genomic nucleotideSemantic proximity Read

Cluster Analysis of Visual Differences on Pairs of SARS-CoV-2 GenomesSemantic proximity Read