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WILF
2007
Springer

Time-Series Alignment by Non-negative Multiple Generalized Canonical Correlation Analysis

9 years 7 months ago
Time-Series Alignment by Non-negative Multiple Generalized Canonical Correlation Analysis
Background: Quantitative analysis of differential protein expressions requires to align temporal elution measurements from liquid chromatography coupled to mass spectrometry (LC/MS). We propose multiple Canonical Correlation Analysis (mCCA) as a method to align the non-linearly distorted time scales of repeated LC/MS experiments in a robust way. Results: Multiple canonical correlation analysis is able to map several time series to a consensus time scale. The alignment function is learned in a supervised fashion. We compare our approach with previously published methods for aligning mass spectrometry data on a large proteomics dataset. The proposed method significantly increases the number of proteins that are identified as being differentially expressed in different biological samples. Conclusion: Jointly aligning multiple liquid chromatography/mass spectrometry samples by mCCA substantially increases the detection rate of potential bio-markers which significantly improves the interpr...
Bernd Fischer, Volker Roth, Joachim M. Buhmann
Added 09 Jun 2010
Updated 09 Jun 2010
Type Conference
Year 2007
Where WILF
Authors Bernd Fischer, Volker Roth, Joachim M. Buhmann
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