[18a-222-1~11] 12.6 Nanobiotechnology

[18a-222-7] Machine Learning Discrimination of Nucleotide For Single-Molecule Tunnel-Current Electrical Identification

〇Takahito Ohshiro¹, Takayuki Takaai¹, Takashi Yoshida¹, Yuki Komoto¹, Takashi Washio¹, Masateru Tanguchi¹ (1.Osaka Univ., ISIR)

Keywords:DNA, machine learning, Single-Molecule Measurement

The discrimination of nucleobases among single molecule nucleotide was performed by machine learning method. We evaluated the discrimination ability of specific nucleotide among mixed nucleotide signals. As a result, we successfully classified all two molecular species with high-accuracy of (F-measure > 0.7) among any two nucleotide species. From the classified signals, we also found that the molecular structure and the interaction between sample and electrode can influence the signal-behaviors so that these signals are distinguished.