LIMPIC: a computational method for the separation of protein MALDI-TOF-MS signals from noise. Background: Mass spectrometry protein profiling is a promising tool for biomarker discovery in clinical proteomics. However, the development of a reliable approach for the separation of protein signals from noise is required. In this paper, LIMPIC, a computational method for the detection of protein peaks from linear-mode MALDI-TOF data is proposed. LIMPIC is based on novel techniques for background noise reduction and baseline removal. Peak detection is performed considering the presence of a non-homogeneous noise level in the mass spectrum. A comparison of the peaks collected from multiple spectra is used to classify them on the basis of a detection rate parameter, and hence to separate the protein signals from other disturbances.

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  1. Bhardwaj, Swati; Gudur, Venkateshwarlu Yellaswamy; Acharyya, Amit: An accelerated computational approach in proteomics (2020)
  2. Yang, Chao; He, Zengyou; Yu, Weichuan: Comparison of public peak detection algorithms for MALDI mass spectrometry data analysis (2009) ioport