Regularized multivariate tests for pathway analysis in proteomic studies

来源 :The Third IMS-China International Conference on Statistics a | 被引量 : 0次 | 上传用户：yeyennn

【摘要】

：

　　Recent proteomic studies have identified proteins related to specific phenotypes.In addition to marginal association analysis for individual proteins, analy

【作者】

：

Lin S.Chen Debashis Paul Ross L.Prentice P ei Wang

【机构】

：

DepartmentofHealthStudies,TheUniversityofChicago,IL.DepartmentofStatistics,UniversityofCalifornia,Da

【出处】

：

The Third IMS-China International Conference on Statistics a

【发表日期】

：

2011年7期

下载到本地 , 更方便阅读

下载此文赞助VIP

声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架

论文部分内容阅读

　　Recent proteomic studies have identified proteins related to specific phenotypes.In addition to marginal association analysis for individual proteins, analyzing pathways (functionally related sets of proteins) may yield additional valuable insights.Identifying pathways that differ between phenotypes can be conceptualized as a multivariate hypothesis testing problem: whether the mean vector μ of ap-dimensional random vector X isμ0.

其他文献

Pricing and hedging equity-indexed annuities under a regime-switching jump diffusion model

　　This paper extends the model and analysis in that of Lin, Tan and Yang[Pricing annuity guarantees under a regime-switching model.North American Actuarial Jo

会议

A Mean-Variance Problem for Discounted Markov Decision Processes

　　In this talk we introduce a mean-variance problem for Markov decision processes (MDPs).Different from the usual goal in MDPs toward an optimal policy for a

会议

H(o)lder Continuity of the Solution for a Class of Nonlinear SPDE Arising from One Dimensional Super

　　The H(o)lder continuity of the solution Xt(x) to a nonlinear stochastic partial differential equation arising from one dimensional super process is obtained

会议

Robust kernel pattern vector method for object registration in remote sensing images

　　The registration of multitemperal remote sensing images before and after disaster is a challenging problem.The main reasons include: (1) The area-based regi

会议

Variable selection and semiparametric efficient estimation for the heteroscedastic partially linear

　　In this paper, we develop an efficient estimating equations procedure for performing variable selection and defining semiparametric efficient estimates simu

会议

Estimation for single-index mixed effects models

　　In this paper, we consider a single-index mixed effects model with longitudinal data.The introduction of the random effects raises interesting inferential c

会议

CNVhac, an integrated CNV calling package based on hybridization and amplification rate correction f

会议

Evaluating the diagnostic powers of variables and their linear combinations when the gold standard i

　　The receiver operating characteristic (ROC) curve is a very useful tool for analyzing the diagnostic/classification power of instruments/classification sche

会议

Information criterion-based clustering of short time course gene expression profiles using order-res

　　Clustering gene expression profiles is important to construeting gene regulatory networks.We consider the problem of clustering short time-course microarray

会议

Selection Strategy for Covariance Structure of Random Effects in Linear Mixed-Effects Models

　　Linear mixed-effects models are a powerful tool for modeling longitudinal data and are widely used in practice.For a given set of covariates in a linear mix

会议

Regularized multivariate tests for pathway analysis in proteomic studies

与本文相关的学术论文