Statistical characterization of chemical noise in MALDI TOF MS by wavelet analysis of multiple noise realizations
Hyunjin Shin1, Mehul P Sampat, Sheldon F Bish
1Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA.
Abstract:
Noise reduction is a critical step in proteomic profiling by mass spectrometry for identification of disease biomarkers. We propose a new method for characterizing chemical noise in MALDI TOF mass spectrometry using wavelet analysis of multiple noise realizations. The use of multiple measurements of the noise process enables a more reliable characterization than can be obtained from a single measurement. We analyzed the distributions and summary statistics of the wavelet coefficients.
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