Title
Comparison of algorithms for pre-processing of SELDI-TOF mass spectrometry data.
Abstract
Surface-enhanced laser desorption and ionization (SELDI) time of flight (TOF) is a mass spectrometry technology. The key features in a mass spectrum are its peaks. In order to locate the peaks and quantify their intensities, several pre-processing steps are required. Though different approaches to perform pre-processing have been proposed, there is no systematic study that compares their performance.In this article, we present the results of a systematic comparison of various popular packages for pre-processing of SELDI-TOF data. We evaluate their performance in terms of two of their primary functions: peak detection and peak quantification. Regarding peak quantification, the performance of the algorithms is measured in terms of reproducibility. For peak detection, the comparison is based on sensitivity and false discovery rate. Our results show that for spectra generated with low laser intensity, the software developed by Ciphergen Biosystems (ProteinChip Software 3.1 with the additional tool Biomarker Wizard) produces relatively good results for both peak quantification and detection. On the other hand, for the data produced with either medium or high laser intensity, none of the methods show uniformly better performances under both criteria. Our analysis suggests that an advantageous combination is the use of the packages MassSpecWavelet and PROcess, the former for peak detection and the latter for peak quantification.
Year
DOI
Venue
2008
10.1093/bioinformatics/btn398
Bioinformatics
Keywords
Field
DocType
supplementary data,mass spectrometry technology,surface-enhanced laser desorption,seldi-tof mass spectrometry data,low laser intensity,better performance,seldi-tof data,pre-processing step,peak quantification,high laser intensity,peak detection,mass spectrometry
Reproducibility,False discovery rate,Ionization,Computer science,Mass spectrum,Algorithm,Laser,Software,Mass spectrometry,Bioinformatics,Time of flight
Journal
Volume
Issue
ISSN
24
19
1367-4811
Citations 
PageRank 
References 
10
0.75
5
Authors
6
Name
Order
Citations
PageRank
Alejandro Cruz-Marcelo1100.75
Rudy Guerra2100.75
M Vannucci327735.75
Yi-Ting Li4141.52
Ching C. Lau5122.12
Tsz-Kwong Man6122.12