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An additive genetic gamma frailty model for two-locus linkage analysis using sibship age of onset data (with Xiaoyun Zhong), Statistical Applications in Genetics and Molecular Biology (2006)

Complex human diseases are often due to multiple disease genes with variable age of onset,...

 

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Group Additive Regression Models for Genomic Data Analysis (with Yihui Luan), UPenn Biostatistics Working Papers (2006)

One important problem in genomic research is to identify genomic features such as gene expression...

 

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Censored Data Regression in High-Dimension and Low-Sample Size Settings For Genomic Applications, UPenn Biostatistics Working Papers (2006)

New high-throughput technologies are generating various types of high-dimensional genomic and proteomic data and meta-data...

 

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Survival Analysis Methods in Genetic Epidemiology, UPenn Biostatistics Working Papers (2006)

Mapping genes for complex human diseases is a challenging problem due to the fact that...

 

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Nonparametric Pathway-Based Regression Models for Analysis of Genomic Data (with Zhi Wei), UPenn Biostatistics Working Papers (2006)

High-throughout genomic data provide an opportunity for identifying pathways and genes that are related to...

 

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Gradient Directed Regularization for Sparse Gaussian Concentration Graphs, with Applications to Inference of Genetic Networks (with Jiang Gui), UPenn Biostatistics Working Papers (2005)

Large-scale microarray gene expression data provide the possibility of constructing genetic networks or biological pathways....

 

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Functional Empirical Bayes Methods for Identifying Genes with Different Time-course Expression Profiles (with Fangxin Hong), Center for Bioinformatics & Molecular Biostatistics (2004)

Time course studies of gene expression are essential in biomedical research to understand biological phenomena...

 

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Partial Cox Regression Analysis for High-Dimensional Microarray Gene Expression Data (with Jiang Gui), Center for Bioinformatics & Molecular Biostatistics (2004)

An important application of microarray technology is to predict various clinical phenotypes based on the...

 

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Penalized Cox Regression Analysis in the High-Dimensional and Low-sample Size Settings, with Applications to Mi-croarray Gene Expression Data (with Jiang Gui), Center for Bioinformatics & Molecular Biostatistics (2004)

An important application of microarray technology is to relate gene expression profiles to various clinical...

 

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Dimension Reduction Methods for Microarrays with Application to Censored Survival Data (with Lexin Li), Center for Bioinformatics & Molecular Biostatistics (2004)

Recent research has shown that gene expression profiles can potentially be used for predicting phenotypes...

 

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A Hidden Markov Modeling Approach for Admixture Mapping Based on Case-Control Haplotype Data (with Chun Zhang, Kun Chen, and Michael F. Seldin), Center for Bioinformatics & Molecular Biostatistics (2003)

Admixture mapping is potentially a powerful method for mapping genes for complex human diseases, when...

 

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Ascertainment-Adjusted Maximum Likelihood Estimation for the Additive Genetic Gamma Frailty Model (with Wanlong Sun), Center for Bioinformatics & Molecular Biostatistics (2003)

The additive genetic gamma frailty model has been proposed for genetic linkage analysis for complex...