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- HARA Akane
- 九州大学システム生命科学府
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- NAKAOKA Shinji
- JST さきがけ
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- AIHARA Kazuyuki
- 東京大学生産技術研究所 情報・エレクトロニクス系部門
Bibliographic Information
- Other Title
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- アレルギー発症に関わる腸内細菌叢のビッグデータ解析
- アレルギー ハッショウ ニ カカワル チョウ ナイ サイキンソウ ノ ビッグデータ カイセキ
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Abstract
<p>Close association between intestinal microbiota and the immune system suggests possibility of developing a novel treatment method for allergy by modulating intestinal microbiota. Although time-series data with sufficient length are required for microbiota modulation, no such datasets are found which match the requirement. In this study, we apply and examine a new method to reconstruct a pseudo-temporal path of allergy development from non-time-series samples reflecting various individual states in the process of allergy development. We aim to refine this method to provide a data-driven intervention strategy for prevention of allergy.</p>
Journal
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- SEISAN KENKYU
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SEISAN KENKYU 70 (3), 141-144, 2018-05-01
Institute of Industrial Science The University of Tokyo
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Details 詳細情報について
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- CRID
- 1390845712966097280
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- NII Article ID
- 130007377756
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- NII Book ID
- AN00127075
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- ISSN
- 18812058
- 0037105X
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- NDL BIB ID
- 029105418
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- Text Lang
- en
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed