2004 Fiscal Year Final Research Report Summary
Development of novel multiple comparison method and decision tree method using resampling techniques and its applications to medical and pharmaceutical data.
| Project/Area Number |
15590042
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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 |
Physical pharmacy
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| Research Institution | Osaka University |
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Principal Investigator |
TAKAGI Tatsuya Osaka University, Graduate School of Pharmaceutical Sciences, Professor, 大学院・薬学研究科, 教授 (80144517)
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| Co-Investigator(Kenkyū-buntansha) |
YASUNAGA Teruo Osaka University, Genome Information Research Center, Professor, 遺伝情報実験センター, 教授 (20260630)
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| Project Period (FY) |
2003 – 2004
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| Keywords | Resampling method / Multiple Comparison / Bonferroni method / Computer intensive method / Bootstrap method / Pharmaceutical metric science / Pharmaceutical Information science |
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| Research Abstract |
Last fiscal year, we developed novel more applicable algorithm of statistical multiple comparison, and the power of test of our method was revealed to be equal to or better than the traditional less applicable methods, such as Dunnett's test and Tukey's test. The results of our study were published in the Journal of Computer Aided Chemistry(vol.4, pp.27-34 (2003)). In this year, we tried to apply a resampling method for obtaining the significance of predictable variables used in decision trees, and this approach was succeeded. The main achievements in this year are as described below.
1) A resampling technique, which is similar to bootstrap method, was adopted for the decision tree method in order to find significant predictable variables (attributes) : it was impossibly difficult to find the significance of attributes in the case of decision tree methods. Our technique is not only able to find such significance but also visualize the level of significance using some 3D graphs. This met
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hod was applied to the prediction of the prognosis of brain tumor patients and satisfied results were obtained. A part of our results was reported at the symposium at the Symposia of the 124th Annual Meeting of the Pharmaceutical Society of Japan (Osaka) organized by the head investigator (Tatsuya TAKAGI) of this research project and Kozo TAKAYAMA, and at the Conference of Chemometrics and Bioinformatics in Asia 2004 (Shanghai) by the head investigator (TAKAGI) of this research project as an invited speaker. After the conference, this report was published in the Journal of Computer Aided Chemistry (vol.5, pp.35-46 (2004)).
2) Based on the results of the studies in the last fiscal year, we tried to write fast and parallel software of our novel multiple comparison method using resampling method and publish on WWW pages by CGI. This software was already published on the WWW page, http : //www.gen-info.osaka-u.ac.jp/testdocs/tomocom/, with the manual of this software, http : //www.gen-info.osaka-u.ac.jp/testdocs/tomocom/tazyu.html, and the simple explanation of our algorithm, http : //www.phs.osaka-u.ac.jp /homepage/b015/research1.html. This software has been being used frequently. Less
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Research Products
(6 results)
