Analyzing Nucleotide Sequences of In uenza A Viruses through Various Kernels

Abstract

In this paper, we classify nucleotide sequences of in uenza A viruses by using various kernels. Our kernels mainly consist of nucleotide sequence kernels by regarding nucleotide sequences as vectors, multisets and strings and phylogenetic tree kernels applied to phylogenetic trees reconstructed from a set of nucleotide sequences. Then, we evaluate that the phylogenetic tree kernels are effective to the pandemic classification and the regional analysis, while the nucleotide sequence kernels are effective to the pandemic classification and the analysis of positions in packaging signals.