Cox Survival Analysis of Microarray Gene Expression Data Using Correlation Principal Component Regression

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dc.contributor.authorZhao, Qiang
dc.contributor.authorSun, Jianguo
dc.date.accessioned2010-05-05T19:03:53Z
dc.date.available2012-02-24T10:17:55Z
dc.date.issued2007-05-29
dc.description.abstractStatistical analysis of microarray gene expression data has recently attracted a great deal of attention. One problem of interest is to relate genes to survival outcomes of patients with the purpose of building regression models for the prediction of future patients' survival based on their gene expression data. For this, several authors have discussed the use of the proportional hazards or Cox model after reducing the dimension of the gene expression data. This paper presents a new approach to conduct the Cox survival analysis of microarray gene expression data with the focus on models' predictive ability. The method modifies the correlation principal component regression (Sun, 1995) to handle the censoring problem of survival data. The results based on simulated data and a set of publicly available data on diffuse large B-cell lymphoma show that the proposed method works well in terms of models' robustness and predictive ability in comparison with some existing partial least squares approaches. Also, the new approach is simpler and easy to implement.
dc.description.departmentMathematics
dc.formatText
dc.format.extent16 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationZhao, Q., & Sun, J. (2007). Cox survival analysis of microarray gene expression data using correlation principal component regression. Statistical Applications in Genetics and Molecular Biology, 6(1).
dc.identifier.doihttps://doi.org/10.2202/1544-6115.1153
dc.identifier.urihttps://hdl.handle.net/10877/3821
dc.language.isoen
dc.publisherThe Berkeley Electronic Press
dc.rights.holder© 2007 The Berkeley Electronic Press.
dc.sourceStatistical Applications in Genetics and Molecular Biology, 2007, Vol. 6, No. 1, Article 16.
dc.subjectsurvival analysis
dc.subjectcox model
dc.subjectmicroarray gene expression data
dc.subjectcorrelation principal
dc.subjectcomponent regression
dc.subjectMathematics
dc.titleCox Survival Analysis of Microarray Gene Expression Data Using Correlation Principal Component Regression
dc.typeArticle

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