Author

H. Niioka

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Evolutionary Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 2 Approach:deep learning· 2 Assay:DNA methylation· 2 Research Focus:dimensionality reduction· 1 Organism:human· 1 Research Focus:phylogenetics / evolution· 1 Approach:variational autoencoder· 1 Organism:virus· 1

Frequent Co-Authors

J. Miyake· 2 shared H. Nakamura· 1 shared K. Nishimoto· 1 shared S. Baba· 1 shared T. Sato· 1 shared T. Shimazaki· 1 shared Y. Nakazawa· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 13 mutual co-author links

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2 shared papersEvolutionary Biology

J. Miyake

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2 papers

Recent·Most cited

Extracting Phylogenetic Information of Human Mitochondrial DNA by Linear Autoencoder

T. Shimazaki, K. Nishimoto, H. Niioka, J. Miyake

The paper uses a linear autoencoder to analyze human mitochondrial DNA sequences, revealing clustering patterns that align with mtDNA haplogroups during training.

bioRxiv · Jun 22, 2021 · PreprintEvolutionary Biology

Cluster Analysis of SARS-CoV-2 Gene using Deep Learning Autoencoder: Gene Profiling for Mutations and Transitions

J. Miyake, T. Sato, S. Baba, H. Nakamura, H. Niioka, Y. Nakazawa

The paper uses a deep learning autoencoder to analyze SARS-CoV-2 ORF1ab gene sequences, identifying five major types and tracking their temporal and geographic dynamics.

bioRxiv · Mar 16, 2021 · PreprintMicrobiology