Recent Publications *

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Comparison of Pinnacle and SameSpots for Spot Quantification and Differential Expression in 2-Dimensional Gel Electrophoresis Studies, Jeffrey S. Morris, Brittan N. Clark, Wei Wei, and Howard B. Gutstein, UT MD Anderson Cancer Center Department of Biostatistics Working Paper Series (2009)

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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)

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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)

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

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Statistical contributions to proteomic research, Jeffrey S. Morris, Keith A. Baggerly, Howard B. Gutstein, and Kevin R. Coombes, The Urine Proteome (2007)

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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)

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

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

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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)

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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)
* Based on date of publication.
Updated as of 11/22/09

Top 10 Papers in University of Texas MD Anderson Cancer Center *

  1. 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).
  2. 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).
  3. 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).
  4. Pre-Processing Mass Spectrometry Data, Kevin R. Coombes, Keith A. Baggerly, and Jeffrey S. Morris, Fundamentals of Data Mining in Genomics and Proteomics (2007).
  5. Some Statistical Issues in Microarray Gene Expression Data, Matthew S. Mayo, Byron J. Gajewski, and Jeffrey S. Morris, Radiation Research (2006).
  6. 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).
  7. Statistical contributions to proteomic research, Jeffrey S. Morris, Keith A. Baggerly, Howard B. Gutstein, and Kevin R. Coombes, The Urine Proteome (2007).
  8. Statistical Issues in Proteomic Research, Jeffrey S. Morris, Bulletin of the International Society for Bayesian Analysis (2007).
  9. 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).
  10. 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).
* Based on the average number of full-text downloads per day since the paper was posted.
Updated as of 11/22/09