This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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582
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Type:
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Contributed
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Date/Time:
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Wednesday, August 4, 2010 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section
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| Abstract - #308574 |
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Title:
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A Statistical Protocol for Protein Quantitation in Bottom-Up MS-Based Proteomics
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Author(s):
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Xuan Wang*+
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Companies:
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Texas A&M University
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Address:
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200 Marion Pugh, College Station, TX, 77840,
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Keywords:
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mass spectrometry-based proteomics ;
intensity-based ;
missingness ;
binary ;
filtering ;
false discovery rate
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Abstract:
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Quantitative mass-spectrometry-based proteomics requires statistical inference on peptides and their parental proteins based on LC-MS/MS data. Challenges include missingness of data and the incorrect inference on peptide level. Except for approaching the problem from intensity-based prospective, we present a statistical model that accounts for missingness by translating peak intensity to binary data-existing measurements as 1 and missingness as 0. We propose an analysis protocol based on the intensity-based method and the binary-based method, aiming at identifying more proteins. A diabetic dataset is used as illustration example, showing that the protocol identifies substantially more proteins at the same false discovery rate rather than using the intensity-based method solely.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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