| Project/Area Number |
22500271
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Statistical science
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| Research Institution | Tohoku University (2012)
Japanese Foundation For Cancer Research (2010-2011) |
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Principal Investigator |
MIYATA Satoshi 東北大学, 大学院・医学系研究科, 講師 (60360343)
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| Co-Investigator(Kenkyū-buntansha) |
ISOMURA Minoru 島根大学, 医学部, 講師 (40272497)
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| Co-Investigator(Renkei-kenkyūsha) |
MATSUURA Masaaki 公益財団法人がん研究会, がんゲノム研究部, 部長 (40173794)
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| Project Period (FY) |
2010 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2012: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2011: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2010: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | ゲノム統計解析 / 関数データ解析 / 非線型回帰 / 統計数学 / 非線形回帰 |
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| Research Abstract |
To extract functional data from protein expression profile, smoothing for functions with locally different smoothness was applied. We developed theoretical investigation of adaptive free-knot splines (AFKS), and implemented programing for it. We also interpreted that protein expression profile is obtained from probability distributions with indifferentiable points, and we analyzed estimation problem of extremely illegal probability distributions. The optimization of knots of spline functions was attained by optimizing the adaptive model selection criterion (AMSC) with evolutionary algorithms.
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