| Project/Area Number |
23700355
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Bioinformatics/Life informatics
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| Research Institution | The Institute of Physical and Chemical Research |
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Principal Investigator |
HUKUSHIMA Atsushi 独立行政法人理化学研究所, メタボローム情報チーム, 研究員 (80415281)
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| Project Period (FY) |
2011 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
Fiscal Year 2012: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2011: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
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| Keywords | バイオインフォマティクス / トランスクリプトミクス / 遺伝子共発現 / データ統合 / データ正規化 / differential correlation / マイクロアレイ / 共発現解析 / トランスクリプトーム / 共発現差異 |
|---|
| Research Abstract |
We have investigated an integrated data mining that facilitates functional analysis to improve limits in gene coexpression approach for function prediction. We have developed the DiffCorr package, a simple method for identifying pattern changes between 2 experimental conditions in correlation networks, which builds on a commonly used association measure. Our method is suitable for the first step towards inferring causal relationships and detecting biomarker candidates.
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