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Abstract Details

Activity Number: 253
Type: Contributed
Date/Time: Monday, July 30, 2012 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #306386
Title: Preprocessing of Analytical Profiles in the Presence of Nonrandom Missing Values in Mass Spectrometry Data
Author(s): Kyoungmi Kim*+ and Uyenthao Nguyen and Sandra L Taylor
Companies: University of California at Davis and University of California at Davis and University of California at Davis
Address: Med: Rowe Program in Human Genetics, Davis, CA, 95616, United States
Keywords: Mass spectrometry ; Analytical profiling ; Missing data ; Normalization ; Statistical analysis

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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