[HTML][HTML] Classification and specific primer design for accurate detection of SARS-CoV-2 using deep learning
A Lopez-Rincon, A Tonda, L Mendoza-Maldonado… - Scientific reports, 2021 - nature.com
In this paper, deep learning is coupled with explainable artificial intelligence techniques for
the discovery of representative genomic sequences in SARS-CoV-2. A convolutional neural …
the discovery of representative genomic sequences in SARS-CoV-2. A convolutional neural …
Classification and Specific Primer Design for Accurate Detection of SARS-CoV-2 Using Deep Learning
A Lopez-Rincon, A Tonda, L Mendoza-Maldonado… - bioRxiv, 2020 - biorxiv.org
One of the reasons for the fast spread of SARS-CoV-2 is the lack of accuracy in detection
tools in the clinical field. Molecular techniques, such as quantitative real-time RT-PCR and …
tools in the clinical field. Molecular techniques, such as quantitative real-time RT-PCR and …
Classification and specific primer design for accurate detection of SARS-CoV-2 using deep learning
A Lopez-Rincon, A Tonda… - Scientific …, 2021 - pubmed.ncbi.nlm.nih.gov
In this paper, deep learning is coupled with explainable artificial intelligence techniques for
the discovery of representative genomic sequences in SARS-CoV-2. A convolutional neural …
the discovery of representative genomic sequences in SARS-CoV-2. A convolutional neural …
Classification and specific primer design for accurate detection of SARS-CoV-2 using deep learning
A Lopez-Rincon, A Tonda, L Mendoza-Maldonado… - Scientific …, 2021 - repub.eur.nl
In this paper, deep learning is coupled with explainable artificial intelligence techniques for
the discovery of representative genomic sequences in SARS-CoV-2. A convolutional neural …
the discovery of representative genomic sequences in SARS-CoV-2. A convolutional neural …
Classification and specific primer design for accurate detection of SARS-CoV-2 using deep learning.
A Lopez-Rincon, A Tonda, L Mendoza-Maldonado… - 2021 - cabidigitallibrary.org
In this paper, deep learning is coupled with explainable artificial intelligence techniques for
the discovery of representative genomic sequences in SARS-CoV-2. A convolutional neural …
the discovery of representative genomic sequences in SARS-CoV-2. A convolutional neural …
Classification and specific primer design for accurate detection of SARS-CoV-2 using deep learning
A Lopez-Rincon, A Tonda, L Mendoza-Maldonado… - 2021 - agris.fao.org
In this paper, deep learning is coupled with explainable artificial intelligence techniques for
the discovery of representative genomic sequences in SARS-CoV-2. A convolutional neural …
the discovery of representative genomic sequences in SARS-CoV-2. A convolutional neural …
[HTML][HTML] Classification and Specific Primer Design for Accurate Detection of SARS-CoV-2 Using Deep Learning
A Lopez-Rincon, A Tonda, L Mendoza-Maldonado… - 2020 - europepmc.org
In this paper, deep learning is coupled with explainable artificial intelligence techniques for
the discovery of representative genomic sequences in SARS-CoV-2. A convolutional neural …
the discovery of representative genomic sequences in SARS-CoV-2. A convolutional neural …
Classification and specific primer design for accurate detection of SARS-CoV-2 using deep learning.
A Lopez-Rincon, A Tonda… - Scientific …, 2021 - search.ebscohost.com
In this paper, deep learning is coupled with explainable artificial intelligence techniques for
the discovery of representative genomic sequences in SARS-CoV-2. A convolutional neural …
the discovery of representative genomic sequences in SARS-CoV-2. A convolutional neural …
[PDF][PDF] Classification and specific primer design for accurate detection of SARS‑CoV‑2 using deep learning
A Lopez‑Rincon, A Tonda, L Mendoza‑Maldonado… - Scientific Reports, 2021 - pure.eur.nl
Results CNN classification and feature construction. The trained CNN described in the
“Methods” section obtained a mean accuracy of 98.73% in a 10-fold stratified cross …
“Methods” section obtained a mean accuracy of 98.73% in a 10-fold stratified cross …
[PDF][PDF] Classification and specific primer design for accurate detection of SARS‑CoV‑2 using deep learning
A Lopez‑Rincon, A Tonda… - Scientific …, 2021 - scholar.archive.org
Results CNN classification and feature construction. The trained CNN described in the
“Methods” section obtained a mean accuracy of 98.73% in a 10-fold stratified cross …
“Methods” section obtained a mean accuracy of 98.73% in a 10-fold stratified cross …