| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2018: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2017: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2016: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2014: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
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| Outline of Final Research Achievements |
Genetic network inference methods generally infer many erroneous regulations. To decrease the number of erroneous regulations, this study uses a priori knowledge that biochemical networks exhibit hierarchical structures. This study detects the hierarchical structure in the target network using a hierarchical random graph model proposed by Clauset and colleagues. When the regulations inferred by the inference method are inconsistent with the detected hierarchical structure, we can conclude that they are unreasonable. However, it is not always easy to detect the hierarchical structure in the target network because of the regulations erroneously inferred by the inference method. To obtain a reasonable hierarchical structure, this study first infers many genetic networks from the observed gene expression data by using a bootstrap-based method. We then extract a hierarchical structure from the inferred multiple genetic networks so that it is consistent with most of the networks.
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