Cargando…
Classification of SARS-CoV-2 and non-SARS-CoV-2 using machine learning algorithms
Due to the continued evolution of the SARS-CoV-2 pandemic, researchers worldwide are working to mitigate, suppress its spread, and better understand it by deploying digital signal processing (DSP) and machine learning approaches. This study presents an alignment-free approach to classify the SARS-Co...
Autores principales: | Singh, Om Prakash, Vallejo, Marta, El-Badawy, Ismail M., Aysha, Ali, Madhanagopal, Jagannathan, Mohd Faudzi, Ahmad Athif |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8294595/ https://www.ncbi.nlm.nih.gov/pubmed/34329865 http://dx.doi.org/10.1016/j.compbiomed.2021.104650 |
Ejemplares similares
-
Aerosol transmission of SARS-CoV-2: The unresolved paradox
por: Priyanka, et al.
Publicado: (2020) -
SARS-CoV-2 Antiviral Therapy
por: Tao, Kaiming, et al.
Publicado: (2021) -
Transmission Cycle of SARS-CoV and SARS-CoV-2
por: Yadav, Tushar, et al.
Publicado: (2020) -
Comparative highlights on MERS-CoV, SARS-CoV-1, SARS-CoV-2, and NEO-CoV
por: Goyal, Rajat, et al.
Publicado: (2022) -
A Comprehensive Review of Animal Models for Coronaviruses: SARS-CoV-2, SARS-CoV, and MERS-CoV
por: Singh, Ashutosh, et al.
Publicado: (2020)