title: Statistical characterization of chemical noise in MALDI TOF MS by wavelet analysis of multiple noise realizations.
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.
authors.affiliation: Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA.
authors.forename: Hyunjin
authors.initials: H
authors.lastname: Shin
authors.forename: Mehul P
authors.initials: MP
authors.lastname: Sampat
authors.forename: Sheldon F
authors.initials: SF
authors.lastname: Bish
authors.forename: John M
authors.initials: JM
authors.lastname: Koomen
authors.forename: Mia K
authors.initials: MK
authors.lastname: Markey
mesh_terms: D016477:Artifacts; D012815:Signal Processing, Computer-Assisted; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000379:methods*