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. Additional comparisons also demonstrate that our method has a similar performance as the hierarchical clustering method, although the implementations of these methods are different.
|Original language||English (US)|
|Number of pages||12|
|Journal||Computational Biology and Chemistry|
|State||Published - Feb 2006|
Bibliographical noteFunding Information:
This work was supported with Federal funds from NHLBI/NIH contract N01-HV-28186, NIDA/NIH grant 1 P30 DA018343-01, NIGMS R01-59507, and NSF grant DMS-0241160.
- Biomarker discovery
- Envelope detection
- Mass spectrometry peak detection
- Non-rigid point matching
- Peak alignment
- Super set