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Discovering Statistical Vulnerabilities in Highly Mutable Viruses: A Random Matrix Approach
Authors
AK Chakraborty
I Hsing
+4 more
RHY Louie
MR McKay
AA Quadeer
K Shekhar
Publication date
1 June 2014
Publisher
eScholarship, University of California
Abstract
The advancement in fast DNA sequencing technologies has opened up new opportunities to explore a diverse set of questions in biomedical research. In this paper, we review a general method which utilizes the available sequence data to determine potential weaknesses in highly mutable viruses, and which has shown promise in the design of vaccines. A key computational part of this method employs concepts from random matrix theory to obtain a robust estimate of a large covariance matrix. We apply this general method on hepatitis C virus as an example, and verify its usefulness by linking with the existing experimental and structural data. © 2014 IEEE
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Last time updated on 04/05/2023