Feature extraction and system identification of human blood metabolome time series after glucose ingestion using tensor decomposition and model selection

Suguru Fujita

[1P-273] Feature extraction and system identification of human blood metabolome time series after glucose ingestion using tensor decomposition and model selection

^〇Suguru Fujita¹, Yasuaki Karasawa², Ken-ichi Hironaka¹, Y-h. Taguchi³, Shinya Kuroda¹ (1.Department of Biological Sciences, Graduate School of Science, The University of Tokyo, 2.Department of Neurosurgery, Graduate School of Medicine, The University of Tokyo, 3.Department of Physics, Chuo University)

キーテクノロジー：システムバイオロジー

システムバイオロジー、テンソル分解、モデル選択、メタボローム、代謝

sfujita@bs.s.u-tokyo.ac.jp

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The 95th Annual Meeting of the Japanese Biochemical Society

[1P-273] Feature extraction and system identification of human blood metabolome time series after glucose ingestion using tensor decomposition and model selection

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