Statistical theory and the evaluation of Cox's proportional hazards model regularized by various penalties for survival DNA microarray expression data
Project/Area Number |
24650149
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Research Category |
Grant-in-Aid for Challenging Exploratory Research
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Allocation Type | Single-year Grants |
Research Field |
Statistical science
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Research Institution | Niigata University |
Principal Investigator |
AKAZAWA Kohei 新潟大学, 医歯学総合病院, 教授 (10175771)
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Project Period (FY) |
2012-04-01 – 2014-03-31
|
Project Status |
Completed (Fiscal Year 2013)
|
Budget Amount *help |
¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
Fiscal Year 2013: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2012: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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Keywords | 比例ハザードモデル / 罰則化 / DNAマイクロアレイデータ / 生存時間解析 / バイオインフォマティックス / マイクロアレイデータ / モンテカルロシミュレーション / 検出力 / Elastic net罰則化 / 疾患感受性遺伝子 |
Research Abstract |
In this study, we created programs using the R language to calculate statistical properties of Cox's proportional hazards model regularized by various penalties, including the statistical power based on the prognostic index, and conducted simulation experiments under various conditions of DNA microarray expression data with survival time. The results showed that when the number of candidate genes is larger than the sample size, the power of a validation set for penalized methods is greater than for stepwise methods in many cases. This tendency is most remarkable for the penalized methods including both the L1-norm and the L2-norm. Furthermore, we verified our programs to actual microarray gene expression data with survival time data to confirm their validity. Our simulation programs for Cox's proportional hazards model regularized by various penalties are very useful for planning DNA microarray studies or for evaluating the results of such studies.
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Report
(3 results)
Research Products
(6 results)
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[Journal Article] SORL1 is genetically associated with neuropathologically characterized late-onset Alzheimer's disease2013
Author(s)
Wen Y, Miyashita A, Kitamura N, Tsukie T, Saito Y, Hatsuta H, Murayama S, Kakita A, Takahashi H, Akatsu H, Yamamoto T, Kosaka K, Yamaguchi H, Akazawa K, Ihara Y, Kuwano R
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Journal Title
J Alzheimers Dis.
Volume: 35(2)
Pages: 387-394
Related Report
Peer Reviewed
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[Journal Article] High-Risk Ovarian Cancer Based on 126-Gene Expression Signature Is Uniquely Characterized by Downregulation of Antigen Presentation Pathway2012
Author(s)
Yoshihara K, Tsunoda T, Shigemizu D, Fujiwara H, Hatae M, Fujiwara H, Masuzaki H, Katabuchi H, KawakamiY, Okamoto A, Nogawa T, Matsumura N, Udagawa Y, Saito T, Itamochi H, Takano M, Miyagi E, Sudo T, Ushijima K, Iwase H, Seki H, Terao Y, Enomoto T, Mikami M, Akazawa K, Tsuda H, Moriya T, Tajima A, Inoue I, and Kenichi Tanaka for The Japanese Serous Ovarian Cancer Study Group
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Journal Title
Clin Cancer Res 2012
Volume: 18
Pages: 1374-1385
Related Report
Peer Reviewed
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