Abstract
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.
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