| Item type |
SIG Technical Reports(1) |
| 公開日 |
2016-03-11 |
| タイトル |
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|
タイトル |
Sparse VARX model with Kalman-Smoother for metabolomics |
| タイトル |
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言語 |
en |
|
タイトル |
Sparse VARX model with Kalman-Smoother for metabolomics |
| 言語 |
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言語 |
eng |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_18gh |
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資源タイプ |
technical report |
| 著者所属 |
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|
Graduate School of Informatics, Kyoto university |
| 著者所属 |
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Graduate School of Informatics, Kyoto university |
| 著者所属 |
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Graduate School of Informatics, Kyoto university |
| 著者所属 |
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Graduate School of Science, University of Tokyo |
| 著者所属 |
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Graduate School of Science, University of Tokyo |
| 著者所属 |
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Graduate School of Informatics, Kyoto university |
| 著者所属(英) |
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en |
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Graduate School of Informatics, Kyoto university |
| 著者所属(英) |
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en |
|
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Graduate School of Informatics, Kyoto university |
| 著者所属(英) |
|
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|
en |
|
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Graduate School of Informatics, Kyoto university |
| 著者所属(英) |
|
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|
en |
|
|
Graduate School of Science, University of Tokyo |
| 著者所属(英) |
|
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|
en |
|
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Graduate School of Science, University of Tokyo |
| 著者所属(英) |
|
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|
en |
|
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Graduate School of Informatics, Kyoto university |
| 著者名 |
Deshuai, Su
Shigeyuki, Oba
Masanori, Koyama
Masashi, Fujii
Shinya, Kuroda
Shin, Ishii
|
| 著者名(英) |
Deshuai, Su
Shigeyuki, Oba
Masanori, Koyama
Masashi, Fujii
Shinya, Kuroda
Shin, Ishii
|
| 論文抄録 |
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内容記述タイプ |
Other |
|
内容記述 |
Dynamics of blood chemicals often reflects metabolic states of patients and has hence been broadly used as disease markers, e.g. oral glucose tolerance test is a standard method to diagnose diabetes that is typically caused by pancreatic insufficiency. In order to reveal metabolic system involving many chemical species, and its variability among patients, we need statistical analysis of multi-subject and multi-condition observations. In this study, we propose a sparse VARX model with standard Kalman-Smoother method. The sparse Vector Auto-Regressive with eXogenous input (VARX) model resolved the multi-subject, multi-condition structure and the Kalman-Smoother resolved the problem of irregular-intervals in observations. We showed that the proposed method could identify the simulated system that involved sparse variability among subjects. |
| 論文抄録(英) |
|
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内容記述タイプ |
Other |
|
内容記述 |
Dynamics of blood chemicals often reflects metabolic states of patients and has hence been broadly used as disease markers, e.g. oral glucose tolerance test is a standard method to diagnose diabetes that is typically caused by pancreatic insufficiency. In order to reveal metabolic system involving many chemical species, and its variability among patients, we need statistical analysis of multi-subject and multi-condition observations. In this study, we propose a sparse VARX model with standard Kalman-Smoother method. The sparse Vector Auto-Regressive with eXogenous input (VARX) model resolved the multi-subject, multi-condition structure and the Kalman-Smoother resolved the problem of irregular-intervals in observations. We showed that the proposed method could identify the simulated system that involved sparse variability among subjects. |
| 書誌レコードID |
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収録物識別子タイプ |
NCID |
|
収録物識別子 |
AA12055912 |
| 書誌情報 |
研究報告バイオ情報学（BIO）
巻 2016-BIO-45,
号 8,
p. 1-6,
発行日 2016-03-11
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| ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
2188-8590 |
| Notice |
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SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. |
| 出版者 |
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言語 |
ja |
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出版者 |
情報処理学会 |
IPSJ-BIO16045008.pdf (1.6 MB)
