NDLI: Comparison of a new spectrum alignment algorithm with other methods

Content Provider	IEEE Xplore Digital Library
Author	He, Q.P. Jin Wang
Copyright Year	2010
Description	Author affiliation: Dept. of Chem. Eng., Tuskegee Univ., Tuskegee, AL, USA (He, Q.P.) \|\| Dept. of Chem. Eng., Auburn Univ., Auburn, AL, USA (Jin Wang)
Abstract	Many data generated by the analytical techniques (such as chromatography, mass spectrometry (MS), near infrared (NIR) spectroscopy and nuclear magnetic resonance (NMR) spectroscopy) are not synchronized or aligned, where the same peak may show up at different positions for different samples. Before applying any analysis method to these spectra, data synchronization/alignment is needed to ensure that the same variable represents the same attribute in all samples. In this work, we propose a three-step self-calibrated warping (SCW) algorithm and apply it to align a clinical prostate cancer data set generated by mass spectrometry. The performance of SCW, in terms of alignment quality and computation speed, is compared with two existing methods. In addition, the robustness of SCW to its tuning parameters and data noise is studied.
Starting Page	1260
Ending Page	1265
File Size	1729940
Page Count	6
File Format	PDF
ISBN	9781424474264
ISSN	07431619
e-ISBN	9781424474271
DOI	10.1109/ACC.2010.5531123
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Proteins Mass spectroscopy Testing Polynomials Magnetic analysis Nuclear magnetic resonance Chemical engineering Peptides Diseases Signal to noise ratio
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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