Detecting and aligning peaks in mass spectrometry data with applications to MALDI

In this paper, we address the peak detection and alignment problem in the analysis of mass spectrometry data. To deal with the peak redundancy problem existing in the MALDI data acquired in the reflectron mode, we propose to use the amplitude modulation technique in peak detection. The alignment of two peak sets is formulated as a non-rigid registration problem and is solved using a robust point matching (RPM) approach. To align multiple peak sets, we first use a super set method to find a common peak set among all peak sets as a standard and then align all peak sets to the standard using the robust point matching approach in a sequential manner (i.e. We align only one peak set to the standard each time, thus reducing the multiple peak set alignment problem to a simpler two peak set alignment problem). Experimental results from a study of ovarian cancer data set show that the quantitative cross-correlation coefficients among technical replicates are increased after peak alignment. Add...

• Type: Journal
• Year: 2006
• Where: CANDC
• Authors: Weichuan Yu, Baolin Wu, Ning Lin, Kathy Stone, Kenneth Williams, Hongyu Zhao
• Keywords: Alignment Problem, CANDC 2006, Emerging Technology, Peak Detection, Peak Sets