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BMCBI
2007

LIMPIC: a computational method for the separation of protein MALDI-TOF-MS signals from noise

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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. Results: LIMPIC preprocessing proves to be superior than other classical preprocessing techniques, allowing for a reliable decomposition of the background noise and the baseline drift from the MALDI-TOF mass spectra. It provides lower coefficient of variat...
Dante Mantini, Francesca Petrucci, Damiana Pierago
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2007
Where BMCBI
Authors Dante Mantini, Francesca Petrucci, Damiana Pieragostino, Piero Del Boccio, Marta Di Nicola, Carmine Di Ilio, Giorgio Federici, Paolo Sacchetta, Silvia Comani, Andrea Urbani
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