University of Texas MD Anderson Cancer Center

Most Popular SelectedWorks Sites*

Jeffrey S. Morris
Functional Data Analysis, Genomics, Proteomics, Bayesian Methods, Image Analysis, Wavelets

Veera Baladandayuthapani

James R Kerns

*based on # of downloads

Receive Custom Email Notices

Notify me of all new papers

Contact Info

The University of Texas

1515 Holcombe Boulevard
Houston, Texas 77030

Phone: (800) 392-1611

Fax:

Add to address book

Papers from 2011

Robust Classification of Functional and Quantitative Image Data using Functional Mixed Models, Hongxiao Zhu, Philip J. Brown, and Jeffrey S. Morris, UT MD Anderson Cancer Center Department of Biostatistics Working Paper Series (2011)

Robust, Adaptive Functional Regression in Functional Mixed Model Framework, Hongxiao Zhu, Phil Brown, and Jeffrey S. Morris, Journal of the American Statistical Asssociation (2011)

Statistical Methods for Proteomic Biomarker Discovery Based on Feature Extraction or Functional Modeling Approaches, Jeffrey S. Morris, Statistics and Its Interface (2011)

Papers from 2010

Characterization of Optically Stimulated Luminescent Detectors in Photon & Proton Beams for Use in Anthropomorphic Phantoms, James R. Kerns, UT GSBS Dissertations and Theses (2010)

Evaluating the performance of new approaches to spot quantification and differential expression in 2-dimensional gel electrophoresis studies, Jeffrey S. Morris, Brittan N. Clark, Wei Wei, and Howard B. Gutstein, Journal of Proteome Research (2010)

Automated Analysis of Quantitative Image Data Using Isomorphic Functional Mixed Models with Application to Proteomics Data, Jeffrey S. Morris, Veerabhadran Baladandayuthapani, Richard C. Herrick, Pietro Sanna, and Howard B. Gutstein, Annals of Applied Statistics (2010)

R Package for Bayesian Ensemble Methods for Survival Prediction in gene expression data, Veera Baladandayuthapani, (2010)

Wavelet-based functional linear mixed models: an application to measurement error–corrected distributed lag models, Elizabeth J. Malloy, Jeffrey S. Morris, Sara D. Adar, Helen Suh, Diane R. Gold, and Brent A. Coull, Biostatistics (2010)

Bayesian Random SegmentationModels to Identify Shared Copy Number Aberrations for Array CGH Data, Veerabhadran Baladandayuthapani, Yuan Ji, Rajesh Talluri, Luis E. Nieto-Barajas, and Jeffrey S. Morris, Journal of the American Statistical Association (2010)

Statistical Contributions to Proteomic Research, Jeffrey S. Morris, Keith A. Baggerly, Howard B. Gutstein, and Kevin R. Coombes, Methods in Molecular Biology (2010)

Informatics and Statistics for Analyzing 2-D Gel Electrophoresis Images, Andrew W. Dowsey, Jeffrey S. Morris, Howard G. Gutstein, and Guang Z. Yang, Methods in Molecular Biology (2010)

Members’ Discoveries: Fatal flaws in cancer research, Jeffrey S. Morris, IMS Bulletin (2010)

Bayesian Random SegmentationModels to Identify Shared Copy Number Aberrations for Array CGH Data, Veera Baladandayuthapani, Journal of the American Statistical Association (2010)

Code for fitting BDSAcgh, Veera Baladandayuthapani, (2010)

Papers from 2008

Microproteomics: Analysis of protein diversity in small samples, Howard B. Gutstein, Jeffrey S. Morris, Suresh P. Annangudi, and Jonathan V. Sweedler, Mass Spectrometry Reviews (2008)

Pinnacle: A Fast, Automatic Method for Detecting and Quantifying Protein Spots in 2-Dimensional Gel Electrophoresis Data, Jeffrey S. Morris, Brittain C. Walla, and Howard B. Gutstein, Bioinformatics (2008)

Software for fitting hierarchical spatial functional models, Veera Baladandayuthapani, Biometrics (2008)

Papers from 2007

Statistical Issues in Proteomic Research, Jeffrey S. Morris, Bulletin of the International Society for Bayesian Analysis (2007)

Bayesian Analysis of Mass Spectrometry Proteomics Data using Wavelet Based Functional Mixed Models, Jeffrey S. Morris, Philip J. Brown, Richard C. Herrick, Keith A. Baggerly, and Kevin R. Coombes, Biometrics (2007)

Pre-Processing Mass Spectrometry Data, Kevin R. Coombes, Keith A. Baggerly, and Jeffrey S. Morris, Fundamentals of Data Mining in Genomics and Proteomics (2007)

Laser capture sampling and analytical issues in proteomics, Howard Gutstein and Jeffrey S. Morris, Expert Reviews in Proteomics (2007)

Papers from 2006

Wavelet-Based Functional Mixed Models to characterize Population Heterogeneity in Accelerometer Profiles: A Case Study. , Jeffrey S. Morris, Cassandra Arroyo, Brent A. Coull, Louise M. Ryan, and Steven L. Gortmaker, Journal of the American Statstical Association (2006)

Alternative Probeset Definitions for Combining Microarray Data Across Studies Using Different Versions of Affymetrix Oligonucleotide Arrays, Jeffrey S. Morris, Chunlei Wu, Kevin R. Coombes, Keith A. Baggerly, Jing Wang, and Li Zhang, Meta-Analysis in Genetics (2006)

PrepMS: TOF MS Data Graphical Preprocessing Tool, Yuliya V. Karpievitch, Elizabeth G. Hill, Adam J. Smolka, Jeffrey S. Morris, Kevin R. Coombes, Keith A. Baggerly, and Jonas S. Almeida, Bioinformatics (2006)

Wavelet-based functional mixed model analysis: Computational considerations, Richard C. Herrick and Jeffrey S. Morris, Proceedings, Joint Statistical Meetings, ASA Section on Statistical Computing (2006)

Some Statistical Issues in Microarray Gene Expression Data, Matthew S. Mayo, Byron J. Gajewski, and Jeffrey S. Morris, Radiation Research (2006)

Wavelet-Based Functional Mixed Models, Jeffrey S. Morris and Raymond J. Carroll, Journal of the Royal Statistical Society, Series B (2006)

Analysis of Mass Spectrometry Data Using Bayesian Wavelet-Based Functional Mixed Models, Jeffrey S. Morris, Philip J. Brown, Keith A. Baggerly, and Kevin R. Coombes, Bayesian Inference for Gene Expression and Proteomics (2006)

Shrinkage Estimation for SAGE Data using a Mixture Dirichlet Prior, Jeffrey S. Morris, Keith A. Baggerly, and Kevin R. Coombes, Bayesian Inferene for Gene Expression and Proteomics (2006)

An Introduction to High-Throughput Bioinformatics Data, Keith A. Baggerly, Kevin R. Coombes, and Jeffrey S. Morris, Bayesian Inference in Gene Expression and Proteomics (2006)

Bayesian Mixture Models for Gene Expression and Protein Profiles, Michele Guindani, Kim-Anh Do, Peter Mueller, and Jeffrey S. Morris, Bayesian Inference for Gene Expression and Proteomics (2006)

Papers from 2005

Pooling Information Across Different Studies and Oligonucleotide Microarray Chip Types to Identify Prognostic Genes for Lung Cancer., Jeffrey S. Morris, Guosheng Yin, Keith A. Baggerly, Chunlei Wu, and Li Zhang, Methods of Microarray Data Analysis IV (2005)

Improved Peak Detection and Quantification of Mass Spectrometry Data Acquired from Surface-Enhanced Laser Desorption and Ionization by Denoising Spectra with the Undecimated Discrete Wavelet Transform, Kevin R. Coombes, Spiros Tsavachidis, Jeffrey S. Morris, Keith A. Baggerly, and Henry M. Kuerer, Proteomics (2005)

Matlab code for Bayesian fitting of adaptive P-splines in regression, Veera Baladandayuthapani, (2005)

Feature Extraction and Quantification for Mass Spectrometry Data in Biomedical Applications Using the Mean Spectrum., Jeffrey S. Morris, Kevin R. Coombes, John Koomen, Keith A. Baggerly, and Ryuji Kobayashi, Bioinformatics (2005)

Understanding the Characteristics of Mass Spectrometry Data Through the Use of Simulation, Kevin R. Coombes, John Koomen, Keith A. Baggerly, Jeffrey S. Morris, and Ryuji Kobayashi, Cancer Informatics (2005)

Bias, Randomization, and Ovarian Proteomic Data: A Reply to "Producers and Consumers", Keith A. Baggerly, Kevin R. Coombes, and Jeffrey S. Morris, Cancer Informatics (2005)

The Importance of Experimental Design in Proteomic Mass Spectrometry Experiments: Some Cautionary Tales, Jeffrey S. Morris, Jianhua Hu, Kevin R. Coombes, and Keith A. Baggerly, Briefings in Genomics and Proteomics (2005)

Serum Proteomics Profiling: A Young Technology Begins to Mature, Kevin R. Coombes, Jeffrey S. Morris, Jianhua Hu, Sarah R. Edmondson, and Keith A. Baggerly, Nature Biotechnology (2005)

Signal in Noise: Evaluating Reported Reproducibility of Serum Proteomic Tests for Ovarian Cancer, Keith A. Baggerly, Jeffrey S. Morris, Sarah R. Edmonson, and Kevin R. Coombes, Journal of the National Cancer Institute (2005)

Papers from 2004

High-resolution serum proteomic patterns for ovarian cancer detection, Keith A. Baggerly, Sarah R. Edmonson, Jeffrey S. Morris, and Kevin R. Coombes, Endocrine-Related Cancer (2004)

Overdispersed logistic regression for SAGE: Modelling multiple groups and covariates, Keith A. Baggerly, Li Deng, Jeffrey S. Morris, and C. Marcelo Aldaz, BMC Bioninformatics (2004)

Reproducibility of SELDI-TOF protein patterns in serum: comparing datasets from different experiments, Keith A. Baggerly, Jeffrey S. Morris, and Kevin R. Coombes, Bioinformatics (2004)

Papers from 2003

Differential Expression in SAGE: accounting for normal between-library variation, Keith A. Baggerly, Li Deng, Jeffrey S. Morris, and C. Marcelo Aldez, Bioinformatics (2003)

Rejoinder to "“Wavelet-Based Nonparametric Modeling of Hierarchical Functions in Colon Carcinogenesis.”, Jeffrey S. Morris, Marina Vannucci, Philip J. Brown, and Raymond J. Carroll, Journal oftthe American Statistical Association (2003)

Quality Control and Peak Finding for Proteomics Data Collected from Nipple Aspirate Fluid Using Surface Enhanced Laser Desorption and Ionization., Jeffrey S. Morris, Kevin R. Coombes, Herbert A. Fritsche, Charlotte Clarke, Jeng-Neng Chen, Keith A. Baggerly, Lian-Chun Xiao, Mien-Chie Hung, and Henry M. Kuerer, Clinical Chemistry (2003)

Wavelet-Based Nonparametric Modeling of Hierarchical Functions in Colon Carcinogenesis., Jeffrey S. Morris, Marina Vannucci, Philip J. Brown, and Raymond J. Carroll, Journal of the American Statistical Association (2003)

A comprehensive approach to the analysis of MALDI-TOF proteomics spectra from serum samples., Keith A. Baggerly, Jeffrey S. Morris, Jing Wang, David Gold, Lian-Chun Xiao, and Kevin R. Coombes, Proteomics (2003)

Bayesian Shrinkage Estimation of the Relative Abundance of mRNA Transcripts using SAGE, Jeffrey S. Morris, Keith A. Baggerly, and Kevin R. Coombes, Biometrics (2003)

Papers from 2002

A Bayesian Analysis Involving Colonic Crypt Structure and Coordinated Response to Carcinogens Incorporating Missing Crypts, Jeffrey S. Morris, Naisyin Wang, Joanne R. Lupton, Robert S. Chapkin, Nancy D. Turner, Mee-Young Hong, and Raymond J. Carroll, Biostatistics (2002)

The BLUPs Are Not “Best” When It Comes To Bootstrapping, Jeffrey S. Morris, Statistics and Probability Letters (2002)

Papers from 2001

Parametric and Nonparametric Methods for Understanding the Relationship Between Carcinogen-Induced DNA Adduct Levels in Distal and Proximal Regions of the Colon., Jeffrey S. Morris, Naisyin Wang, Joanne R. Lupton, Robert S. Chapkin, Nancy D. Turner, Mee-Young Hong, and Raymond J. Carroll, Journal of the American Statistical Association (2001)