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Tuesday, 08/03/2010
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Statistical Analysis Strategies for Shotgun Proteomics Data
Ming Li, Vanderbilt University School of Medicine
8:35 AM
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Quantifying Output from Protein Mass Spectrometry Experiments: An Overview
Tim Randolph, Fred Hutchinson Cancer Research Center
8:35 AM
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Normalization and Missing Value Imputation for Proteomics Analysis
Yuliya V. Karpievitch, Pacific Northwest National Laboratory
8:55 AM
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Developing Targeted Protein Measurement for Label-Free Multiple Reaction Monitoring
Dean Billheimer, The University of Arizona
8:55 AM
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Mixed-Effect Models for High-Throughput Mass Spectrometry-Based Proteomic Profiling Experiments
Timothy Clough, Purdue University; Ching-Yun (Veavi) Chang, Purdue University; Olga Vitek, Purdue University
9:15 AM
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Statistical Methods for Ion Mobility Spectrometry: A New Dimension for Proteomics
Jeffrey R. Stanley, Texas A&M University
9:35 AM
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A Nested Mixture Model for Protein Identification Using Mass Spectrometry
Qunhua Li, University of California, Berkeley; Michael MacCoss, University of Washington; Matthew Stephens, The University of Chicago
9:35 AM
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Sparse Distance-Weighted Discrimination and the Oracle Theory
Lingsong Zhang, Purdue University; Xihong Lin, Harvard School of Public Health
2:30 PM
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Wednesday, 08/04/2010
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Analysis of Data from Proteomics Study Utilizing SILAC (Stable Isotopic Labeling of Amino Acids in Cell Culture)
Qinghua Song, Merck & Co., Inc.; Daniel Spellman, Merck & Co., Inc.; Ronald Miller, Merck & Co., Inc.; Andy Liaw, Merck & Co., Inc.
2:05 PM
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A Statistical Protocol for Protein Quantitation in Bottom-Up MS-Based Proteomics
Xuan Wang, Texas A&M University
2:50 PM
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Critiquing Bioinformatics Resources When ID Mapping Is Needed to Integrate Genomic and Proteomic Studies
Roger Day, University of Pittsburgh; Kevin McDade, University of Pittsburgh; Uma Chandran, University of Pittsburgh; Alex Lisovich, University of Pittsburgh
3:20 PM
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