Evaluating COVID-19 Sequence Data Using Nearest-Neighbors Based Network Model
Author:
Affiliation:
1. Georgia State University,Department of Computer Science,Atlanta,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10020192/10020156/10020653.pdf?arnumber=10020653
Reference37 articles.
1. Efficient analysis of COVID-19 clinical data using machine learning models
2. Robust Representation and Efficient Feature Selection Allows for Effective Clustering of SARS-CoV-2 Variants
3. Effective and scalable clustering of SARS-CoV-2 sequences
4. A measure of the similarity of sets of sequences not requiring sequence alignment
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