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Aligning Peaks Across Multiple Mass Spectrometry Data Sets Using A Scale-Space Based Approach
Stanford, California August 08-August 11
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSBW.2005.192005 IEEE Computational Systems Bioin ...
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Weichuan Yu, Yale University
Xiaoye Li, Yale University
Hongyu Zhao, Yale University

In mass spectrometry (MS) based proteomics research, only the spectral biologically relevant in analysis applications such as biomarker discovery and disease classification. number and locations of peaks in different spectra are very likely to be different given the biological samples and variations of MS data acquisition conditions. Aligning peaks spectra and determining their locations is therefore an important task as all comparisons significant conclusions are based on the alignment results. Due to the fact that the shift curves peaks are non-linear, however, peak alignment still remains challenging even after instrument with internal markers. To address this problem, different methods have been proposed.

Citation:
Weichuan Yu, Xiaoye Li, Hongyu Zhao, "Aligning Peaks Across Multiple Mass Spectrometry Data Sets Using A Scale-Space Based Approach," csbw, pp.126-127, 2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05), 2005
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