Resampling-based multiple testing and its application to genome analysis
| Project/Area Number |
22700293
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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 | Chuo University |
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Principal Investigator |
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| Project Period (FY) |
2010 – 2011
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| Project Status |
Completed (Fiscal Year 2011)
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| Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2011: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2010: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000)
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| Keywords | 統計的推測 / 多重検定 / 並べ替え検定 / スパース推定 / ゲノム解析 / 多重検定法 / パーミュテーション法 / スパース推定法 |
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| Research Abstract |
In this study, we investigated high-dimensional multiple testing problem and variable selection problem for application to the genome analysis. As a result, we have organized some theoretical problems of permutation-based method for the resampling-based multiple testing methods. Also we have developed some new variable selection methods using L1 penalized sparse estimation methods and their evaluation methods for various situations.
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Report
(3 results)
Research Products
(8 results)
