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ID 34947
本文ファイル
著者
Enomoto, Yumi
Ushijima, Masaru
Miyata, Satoshi
Matsuura, Masaaki
キーワード
Biological mechanism
Gene-to-gene interrelationships
Epistasis
Multiple pathways
NDC
医学
抄録(英)
We propose a methodology for constructing an integrated phenotype prediction model that accounts for multiple pathways regulating a targeted phenotype. The method uses multiple prediction models, each expressing a particular pattern of gene-to-gene interrelationship, such as epistasis. We also propose a methodology using Gene Ontology annotations to infer a biological mechanism from the integrated phenotype prediction model. To construct the integrated models, we employed multiple logistic regression models using a two-step learning approach to examine a number of patterns of gene-to-gene interrelationships. We first selected individual prediction models with acceptable goodness of fit, and then combined the models. The resulting integrated model predicts phenotype as a logical sum of predicted results from the individual models. We used published microarray data on neuroblastoma from Ohira et al (2005) for illustration, constructing an integrated model to predict prognosis and infer the biological mechanisms controlling prognosis. Although the resulting integrated model comprised a small number of genes compared to a previously reported analysis of these data, the model demonstrated excellent performance, with an error rate of 0.12 in a validation analysis. Gene Ontology analysis suggested that prognosis of patients with neuroblastoma may be influenced by biological processes such as cell growth, G-protein signaling, phosphoinositide-mediated signaling, alcohol metabolism, glycolysis, neurophysiological processes, and catecholamine catabolism.
掲載誌名
Hiroshima Journal of Medical Sciences
57巻
1号
開始ページ
7
終了ページ
15
出版年月日
2008-03
出版者
Hiroshima University Medical Press
ISSN
0018-2052
NCID
言語
英語
NII資源タイプ
紀要論文
広大資料タイプ
学内刊行物(紀要等)
DCMIタイプ
text
フォーマット
application/pdf
著者版フラグ
publisher
権利情報
(c) Hiroshima University Medical Press.
部局名
原爆放射線医科学研究所
医歯薬学総合研究科
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