2011 Fiscal Year Final Research Report
Development of statistical methods for brain research
| Project/Area Number |
21700312
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Statistical science
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| Research Institution | Kurume University |
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Principal Investigator |
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| Project Period (FY) |
2009 – 2011
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| Keywords | 脳 / 神経 / 画像解析 / 国際情報交換 / 高次元データ / バイオ統計学 / 統計数学 / ノンパラメトリック |
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| Research Abstract |
Statistical methods applied to brain research were proposed based on the nonparametric method which required no assumption on the data structure and enable us to apply to several data analysis. A simulation study showed more significant advantage for the proposed method comparing with existing methods. We ve also effectively learned about Parkinson's disease and malignant glioma from our statistical analysis
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[Journal Article] Identification and validation of a gene expression signature that predicts outcome in malignant glioma patients2012
Author(s)
Kawaguchi, A., Yajima N., Komohara Y., Aoki H., Tsuchiya N., Homma J., Sano M., Natsumeda M., Uzuka T., Saitoh A., Takahashi H., Sakai Y., Takahashi H., Fujii Y., Kakuma T. and Yamanaka R.
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Journal Title
International Journal of Oncology
Volume: Volume 40 Number 3
Pages: 721-730
Peer Reviewed
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[Journal Article] Differential involvement of striato-and cerebello-thalamo-cortical pathways in tremor-and akinetic/rigid-predominant Parkinson's disease2011
Author(s)
Lewis, M. M., Du G., Sen S., Kawaguchi, A., Truong, Y. Lee, S. Mailman, R. B. Huang, X.
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Journal Title
Neuroscience
Volume: Volume 177, Issue 17
Pages: 230-239
Peer Reviewed
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