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