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Abstract Details
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Activity Number:
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253
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Type:
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Contributed
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Date/Time:
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Monday, July 30, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section
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| Abstract - #306386 |
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Title:
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Preprocessing of Analytical Profiles in the Presence of Nonrandom Missing Values in Mass Spectrometry Data
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Author(s):
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Kyoungmi Kim*+ and Uyenthao Nguyen and Sandra L Taylor
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Companies:
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University of California at Davis and University of California at Davis and University of California at Davis
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Address:
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Med: Rowe Program in Human Genetics, Davis, CA, 95616, United States
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Keywords:
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Mass spectrometry ;
Analytical profiling ;
Missing data ;
Normalization ;
Statistical analysis
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Abstract:
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Analytical profiles are commonly normalized prior to downstream statistical analysis. However, the normalization can be dramatically affected by the presence of missing values. Missing values in mass spectrometry data do not occur randomly but rather as a function of peak intensity. In most cases, peak intensities are not measured because their abundance is simply below the detection limit of the mass spectrometer. Currently, little is known about the impact of nonrandom missing data on normalization and downstream statistical analysis. This work examines occurrence and distribution patterns of missing data and their effects on statistical analysis for analytical profiles that reveal relationships between disease and molecule variables.
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