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Revealing microbial assemblage structure in the human gut microbiome using latent Dirichlet allocation

View ORCID ProfileShion Hosoda, View ORCID ProfileSuguru Nishijima, View ORCID ProfileTsukasa Fukunaga, Masahira Hattori, View ORCID ProfileMichiaki Hamada
doi: https://doi.org/10.1101/664219
Shion Hosoda
1Graduate School of Advanced Science and Engineering, Waseda University
2Computational Bio Big-Data Open Innovation Laboratory (CBBD-OIL), National Institute of Advanced Industrial Science and Technology (AIST)
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Suguru Nishijima
1Graduate School of Advanced Science and Engineering, Waseda University
2Computational Bio Big-Data Open Innovation Laboratory (CBBD-OIL), National Institute of Advanced Industrial Science and Technology (AIST)
3Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo
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Tsukasa Fukunaga
1Graduate School of Advanced Science and Engineering, Waseda University
4Department of Computer Science, Graduate School of Information Science and Engineering, The University of Tokyo
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Masahira Hattori
1Graduate School of Advanced Science and Engineering, Waseda University
3Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo
5RIKEN Center for Integrative Medical Sciences
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Michiaki Hamada
1Graduate School of Advanced Science and Engineering, Waseda University
2Computational Bio Big-Data Open Innovation Laboratory (CBBD-OIL), National Institute of Advanced Industrial Science and Technology (AIST)
6Artificial Intelligence Research Center (AIRC), National Institute of Advanced Industrial Science and Technology (AIST)
7Graduate School of Medicine, Nippon Medical School
8Center for Data Science, Waseda University
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  • ORCID record for Michiaki Hamada
  • For correspondence: mhamada@waseda.jp
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Article Information

doi 
https://doi.org/10.1101/664219
History 
  • June 12, 2019.

Article Versions

  • Version 1 (June 10, 2019 - 09:24).
  • You are viewing Version 2, the most recent version of this article.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.

Author Information

  1. Shion Hosoda*,1,2,
  2. Suguru Nishijima1,2,3,
  3. Tsukasa Fukunaga1,4,
  4. Masahira Hattori1,3,5 and
  5. Michiaki Hamada†,1,2,6,7,8
  1. 1Graduate School of Advanced Science and Engineering, Waseda University
  2. 2Computational Bio Big-Data Open Innovation Laboratory (CBBD-OIL), National Institute of Advanced Industrial Science and Technology (AIST)
  3. 3Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo
  4. 4Department of Computer Science, Graduate School of Information Science and Engineering, The University of Tokyo
  5. 5RIKEN Center for Integrative Medical Sciences
  6. 6Artificial Intelligence Research Center (AIRC), National Institute of Advanced Industrial Science and Technology (AIST)
  7. 7Graduate School of Medicine, Nippon Medical School
  8. 8Center for Data Science, Waseda University
  1. ↵†Corresponding author; email: mhamada{at}waseda.jp
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Posted June 12, 2019.
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Revealing microbial assemblage structure in the human gut microbiome using latent Dirichlet allocation
Shion Hosoda, Suguru Nishijima, Tsukasa Fukunaga, Masahira Hattori, Michiaki Hamada
bioRxiv 664219; doi: https://doi.org/10.1101/664219
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Revealing microbial assemblage structure in the human gut microbiome using latent Dirichlet allocation
Shion Hosoda, Suguru Nishijima, Tsukasa Fukunaga, Masahira Hattori, Michiaki Hamada
bioRxiv 664219; doi: https://doi.org/10.1101/664219

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