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  • Research Article
  • Open Access

MALDI-TOF Baseline Drift Removal Using Stochastic Bernstein Approximation

EURASIP Journal on Advances in Signal Processing20062006:063582

  • Received: 7 July 2005
  • Accepted: 1 December 2005
  • Published:


Stochastic Bernstein (SB) approximation can tackle the problem of baseline drift correction of instrumentation data. This is demonstrated for spectral data: matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF) data. Two SB schemes for removing the baseline drift are presented: iterative and direct. Following an explanation of the origin of the MALDI-TOF baseline drift that sheds light on the inherent difficulty of its removal by chemical means, SB baseline drift removal is illustrated for both proteomics and genomics MALDI-TOF data sets. SB is an elegant signal processing method to obtain a numerically straightforward baseline shift removal method as it includes a free parameter that can be optimized for different baseline drift removal applications. Therefore, research that determines putative biomarkers from the spectral data might benefit from a sensitivity analysis to the underlying spectral measurement that is made possible by varying the SB free parameter. This can be manually tuned (for constant ) or tuned with evolutionary computation (for ).


  • Spectral Data
  • Free Parameter
  • Spectral Measurement
  • Evolutionary Computation
  • Inherent Difficulty

Authors’ Affiliations

Department of Mathematics, College of Science & Technology, The University of Southern Mississippi, Hattiesburg, MS 39406-0001, USA
QinetiQ PLC, Malvern, Worcestershire, WR14 3PS, United Kingdom


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© Kolibal and Howard 2006