VIRAL QUASISPECIES RECONSTRUCTION VIA TENSOR FACTORIZATION

被引：0
|
作者：
Ahn, Soyeon [1 ]
Ke, Ziqi [1 ]
Vikalo, Haris [1 ]
机构：
[1] Univ Texas Austin, Dept Elect & Comp Engn, Austin, TX 78712 USA
来源：
2017 55TH ANNUAL ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING (ALLERTON) | 2017年
基金：
美国国家科学基金会;
关键词：
viral quasispecies reconstruction; tensor factorization; high-throughput sequencing; HAPLOTYPE ASSEMBLY PROBLEM; HUMAN GENOME; ALGORITHM; SEQUENCE;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Viral quasispecies are heterogenous mixtures of viral strains generated as RNA viruses mutate and adapt to environmental changes. High-throughput DNA sequencing enables reconstruction of viral quasispecies and estimation of their abundances, thus providing information that assists in the development of effective antiviral drugs and vaccines. In this paper, sequencing data is represented by means of a binary tensor and the viral strains discovery is formulated as the tensor factorization problem. Performance of the proposed scheme is discussed. Results demonstrate effectiveness of the proposed algorithm.
引用
收藏
页码：1236 / 1239
页数：4
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