Yang, Hua, Cao, Jie, Li, Lian-Qing, Zhou, Xia, Chen, Qiu-Li, Liao, Wen-Ting, ...
Abstract Background Protein A, protein G and protein L are three well-defined immunoglobulin (Ig)-binding proteins (IBPs), which show affinity for specific sites on Ig of mammalian hosts. Although...
Xie, Benhuai, Pan, Wei, Shen, Xiaotong
Clustering analysis is one of the most widely used statistical tools in many emerging areas such as microarray data analysis. For microarray and other high-dimensional data, the presence of many...
Functional group-based linkage analysis of gene expression trait loci (2007)
Li, Na, Wu, Baolin, Wei, Peng, Xie, Benhuai, Xie, Yang, Xiao, Guanghua, ...
Abstract We explored approaches to using multiple related traits (gene expression levels) in linkage analysis. We first grouped mRNA transcripts according to their functions annotated in biological...
From Web Directories to Ontologies: Natural Language Processing Challenges (2007)
Zaihrayeu, Ilya, Sun, Lei, Giunchiglia, Fausto, Pan, Wei, Ju, Qi, Chi, Mingmin, ...
Hierarchical classifications are used pervasively by humans as a means to organize their data and knowledge about the world. One of their main advantages is that natural language labels, used to...
Operon information improves gene expression estimation for cDNA microarrays (2006)
Xiao, Guanghua, Martinez-Vaz, Betsy, Pan, Wei, Khodursky, Arkady B
Abstract Background In prokaryotic genomes, genes are organized in operons, and the genes within an operon tend to have similar levels of expression. Because of co-transcription of genes within an...
Yang Xie, Kyeong S. Jeong, Wei Pan, Arkady Khodursky, Bradley P. Carlin
DNA microarray analysis is a biological technology which permits the whole genome to be monitored simultaneously on a single slide. Microarray technology not only opens an exciting research area for...
Huang, Xiaohong, Pan, Wei, Grindle, Suzanne, Han, Xinqiang, Chen, Yingjie, Park, Soon J, ...
Abstract Background Human heart failure is a complex disease that manifests from multiple genetic and environmental factors. Although ischemic and non-ischemic heart disease present clinically with...
Martinez-Vaz, Betsy M, Xie, Yang, Pan, Wei, Khodursky, Arkady B
Abstract Background The distribution and location of insertion elements in a genome is an excellent tool to track the evolution of bacterial strains and a useful molecular marker to distinguish...
Currently the practice of using existing biological knowledge in analyzing high throughput genomic and proteomic data is mainly for the purpose of validations. Here we take a different approach of...
Currently the practice of using existing biological knowledge in analyzing high throughput genomic and proteomic data is mainly for the purpose of validations. Here we take a different approach of...
Currently the practice of using existing biological knowledge in analyzing high throughput genomic and proteomic data is mainly for the purpose of validations. Here we take a different approach of...
Currently the practice of using existing biological knowledge in analyzing high throughput genomic and proteomic data is mainly for the purpose of validations. Here we take a different approach of...
Functionally Graded Materials VII (2005)
Pan, Wei, Gong, Jianghong, Zhang, Lianmeng, Chen, Lidong
Functionally graded materials (FGMs) exhibit spatial variations, in composition and/or microstructure, which have been imposed for the specific purpose of controlling the resultant variations in the...
this paper we extend Wei and Tanner's multiple imputation approach for linear regression with univariate censored data to bivariate censored data. We formulate a class of censored bivariate linear...
Pan, Wei, Lin, Jizhen, Le, Chap T
Abstract Background It has been recognized that replicates of arrays (or spots) may be necessary for reliably detecting differentially expressed genes in microarray experiments. However, the...
Model-based cluster analysis of microarray gene-expression data (2002)
Pan, Wei, Lin, Jizhen, Le, Chap T
Abstract Background Microarray technologies are emerging as a promising tool for genomic studies. The challenge now is how to analyze the resulting large amounts of data. Clustering techniques have...
Thesis (Ph. D.)--Pennsylvania State University, 2002.
Thesis (Ph. D.)--Michigan State University. Dept. of Counseling, Educational Psychology, and Special Education, 2001.
Bootstrapping Likelihood for Model Selection with Small Samples (1999)
this report we compare model-selection performance of AIC, EIC, a bootstrap-smoothed likelihood crossvalidation (BCV) and its modification (632CV) in small-sample linear regression, logistic...
Linear Regression For Bivariate Censored Data Via Multiple Imputation (1998)
Wei Pan, Charles Kooperberg, Via Multiple Imputation
this paper we extend Wei and Tanner's
Linear Regression For Bivariate Censored Data Via Multiple Imputation (1998)
Multiple Imputation, Wei Pan, Charles Kooperberg, Via Multiple Imputation
this paper we extend Wei and Tanner's
this paper, we point out the (point-wise) inconsistency of the NPMLE under some mild conditions, which has been obviously neglected so far. This result is surprising in light of the established...
Smooth Estimation of the Survival for Interval Censored Data: An Empirical Study (1998)
this paper we first show by simulation that both smooth estimators improve over the NPMLE for smooth survivals, though further studies are still necessary to ease their use and establish their...
Extending the Iterative Convex Minorant Algorithm to the Cox Model (1997)
INTRODUCTION Interval censored data occur commonly, such as in studies of AIDS and other chronic diseases, in which the event of interest is never observed exactly but only known to occur within some...
Thesis (Ph. D. in Political Science)--University of California, Berkeley, May 1996.
Thesis (Ph. D.)--University of California, Berkeley, 1996.
Thesis (Ph. D.)--University of Miami, 1995.
Contextual interference on beginners learning an open motor skill /--by Wei Pan. (1987)
Research paper, 4 hrs.
Qi, Huilin, Aguiar, Dean J., Williams, Shelly M., La Pean, Alison, Pan, Wei, Verfaillie, Catherine M.
Single human bone marrow-derived mesodermal progenitor cells (MPCs) differentiate into osteoblasts, chondrocytes, adipocytes, myocytes, and endothelial cells. To identify genes involved in the...
Genome-wide localization of mobile elements: experimental, statistical and biological considerations
Martinez-Vaz, Betsy M, Xie, Yang, Pan, Wei, Khodursky, Arkady B
A comparative study of discriminating human heart failure etiology using gene expression profiles
Huang, Xiaohong, Pan, Wei, Grindle, Suzanne, Han, Xinqiang, Chen, Yingjie, Park, Soon J, ...
Operon information improves gene expression estimation for cDNA microarrays
Xiao, Guanghua, Martinez-Vaz, Betsy, Pan, Wei, Khodursky, Arkady B
Lazovich, DeAnn, Parker, David L., Brosseau, Lisa M., Milton, F. Thomas, Dugan, Siobhan K., Pan, Wei, ...
Objectives. This study assessed the effectiveness of an intervention to reduce wood dust, a carcinogen, by approximately 26% in small woodworking businesses.
Qi, Huilin, Aguiar, Dean J., Williams, Shelly M., La Pean, Alison, Pan, Wei, Verfaillie, Catherine M.
Single human bone marrow-derived mesodermal progenitor cells (MPCs) differentiate into osteoblasts, chondrocytes, adipocytes, myocytes, and endothelial cells. To identify genes involved in the...
Genome-wide localization of mobile elements: experimental, statistical and biological considerations
Martinez-Vaz, Betsy M, Xie, Yang, Pan, Wei, Khodursky, Arkady B
A comparative study of discriminating human heart failure etiology using gene expression profiles
Huang, Xiaohong, Pan, Wei, Grindle, Suzanne, Han, Xinqiang, Chen, Yingjie, Park, Soon J, ...
Lazovich, DeAnn, Parker, David L., Brosseau, Lisa M., Milton, F. Thomas, Dugan, Siobhan K., Pan, Wei, ...
Objectives. This study assessed the effectiveness of an intervention to reduce wood dust, a carcinogen, by approximately 26% in small woodworking businesses.
Operon information improves gene expression estimation for cDNA microarrays
Xiao, Guanghua, Martinez-Vaz, Betsy, Pan, Wei, Khodursky, Arkady B
Perspectives of UK housebuilders on the use of offsite modern methods of construction
Wei Pan, Alistair Gibb, Andrew Dainty
Despite an increasing demand for housing and wider concerns over the need to improve performance, the industry seems to be reluctant to adopt offsite technologies. Many studies have attempted to...
Low dose risk estimation via simultaneous statistical inferences
Walter W. Piegorsch, R. Webster West, Wei Pan, Ralph L. Kodell
The paper develops and studies simultaneous confidence bounds that are useful for making low dose inferences in quantitative risk analysis. Application is intended for risk assessment studies where...
Incorporating gene functional annotations in detecting differential gene expression
The importance of incorporating existing biological knowledge, such as gene functional annotations in gene ontology, in analysing high throughput genomic and proteomic data is being increasingly...
Currently the practice of using existing biological knowledge in analyzing high throughput genomic and proteomic data is mainly for the purpose of validations. Here we take a different approach of...
Functional group-based linkage analysis of gene expression trait loci
Li, Na, Wu, Baolin, Wei, Peng, Xie, Benhuai, Xie, Yang, Xiao, Guanghua, ...
We explored approaches to using multiple related traits (gene expression levels) in linkage analysis. We first grouped mRNA transcripts according to their functions annotated in biological process of...
A Case Study on Choosing Normalization Methods and Test Statistics for Two-Channel Microarray Data
Xie, Yang, Jeong, Kyeong S., Pan, Wei, Khodursky, Arkady, Carlin, Bradley P.
DNA microarray analysis is a biological technology which permits the whole genome to be monitored simultaneously on a single slide. Microarray technology not only opens an exciting research area for...
Exact one-sided simultaneous confidence bands via Uusipaikka’s method
Wei Pan, Walter Piegorsch, R. West
Simple linear regression, simultaneous confidence bounds, simultaneous inference, S-method, Web-based computing,