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Activity Number:
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56
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Type:
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Topic Contributed
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Date/Time:
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Sunday, July 29, 2007 : 4:00 PM to 5:50 PM
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Sponsor:
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IMS
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| Abstract - #309530 |
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Title:
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Model-Based Protein Summaries and Differential Label-Free Quantitative Proteomics
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Author(s):
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Alan Dabney*+
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Companies:
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Texas A&M University
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Address:
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3143, College Station, TX, 77845,
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Keywords:
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proteomics ; missing data ; censored regression ; differential expression
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Abstract:
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Differential label-free quantitative proteomics refers to the use of MS peak areas to quantitate and compare protein expression levels in LC-MS/MS experiments. There is typically widespread informative missingness due to detection limits and other factors. I propose a method for rolling peptide information up to the protein level while accounting for the information in missing peaks. Relationships across peptides are exploited to facilitate estimation and stabilize estimates. Real examples will be illustrated with data from the Pacific Northwest National Laboratory.
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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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