Author

T. Ikemura

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Evolutionary Biology· 1

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Research Focus:clustering· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:phylogenetics / evolution· 1 Approach:statistical model· 1 Organism:virus· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

K. Wada· 1 shared T. Abe· 1 shared Y. Iwasaki· 1 shared Y. Wada· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperEvolutionary Biology

K. Wada

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1 paper

Recent·Most cited

Unsupervised explainable AI for simultaneous molecular evolutionary study of forty thousand SARS-CoV-2 genomes

T. Ikemura, K. Wada, Y. Wada, Y. Iwasaki, T. Abe

The paper applies an explainable AI method to analyze 40,000 SARS-CoV-2 genomes, revealing clade clustering based on oligonucleotide composition without prior knowledge.

bioRxiv · Oct 11, 2020 · PreprintEvolutionary Biology