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- June 12, 2019.
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- Version 1 (June 10, 2019 - 09:24).
- You are viewing Version 2, the most recent version of this article.
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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
- Shion Hosoda*,1,2,
- Suguru Nishijima1,2,3,
- Tsukasa Fukunaga1,4,
- Masahira Hattori1,3,5 and
- Michiaki Hamada†,1,2,6,7,8
- 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
- 4Department of Computer Science, Graduate School of Information Science and Engineering, The University of Tokyo
- 5RIKEN Center for Integrative Medical Sciences
- 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
- ↵†Corresponding author; email: mhamada{at}waseda.jp
Posted June 12, 2019.
Revealing microbial assemblage structure in the human gut microbiome using latent Dirichlet allocation
