Decoding SARS-CoV-2 Variants: An in-silico approach to RNA-Seq feature extraction using K-mers and N-grams
Author:
Affiliation:
1. Maulana Azad National Urdu University,Department of Computer Science and Information Technology,Hyderabad,Telangana,India
2. International Institute of Information Technology,Department of Computer Science & Engineering,Bhubaneswar,Odisha,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10481805/10481679/10481950.pdf?arnumber=10481950
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1. Automatic Real-Time Medical Mask Detection Using Deep Learning to Fight COVID-19
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3. Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study
4. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
5. Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks
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