Detection of a SARS-CoV-2 sequence with genosensors using data analysis based on information visualization and machine learning techniques
Juliana Coatrini Soares, Andrey Coatrini Soares, Valquíria Cruz Rodrigues, Pedro Ramon Almeida Oiticica, Paulo A. Raymundo‐Pereira, José L. Bott‐Neto, Lorenzo A. Buscaglia, Lucas Daniel Chiba de Castro, Lucas C. Ribas, Leonardo Scabini, Laís Canniatti Brazaca, Daniel S. Corrêa, L. H. C. Mattoso, Maria Cristina Ferreira de Oliveira, André C. P. L. F. de Carvalho, Emanuel Carrilho, Odemir Martinez Bruno, Matias Eliseo Melendez, Osvaldo N. Oliveira
Abstract
First genosensor for SARS-CoV-2 where multimodal detection principles can be employed, including image analysis based on machine learning.
Topics & Concepts
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)VisualizationSequence (biology)Coronavirus disease 2019 (COVID-19)Computer science2019-20 coronavirus outbreakArtificial intelligenceData miningData scienceVirologyMedicineChemistryInfectious disease (medical specialty)DiseaseOutbreakBiochemistryPathologyCOVID-19 diagnosis using AIAnomaly Detection Techniques and ApplicationsImage Processing Techniques and Applications