NDLI: Chromatographic alignment combined with chemometrics profile reconstruction approaches applied to LC-MS data

Content Provider	IEEE Xplore Digital Library
Author	Paulus, C. Bonnet, S. Gerfault, L. Mery, E. Strubel, G. Ricoul, F. Grangeat, P.
Copyright Year	2007
Description	Author affiliation: CEA-LETI, Grenoble (Paulus, C.; Bonnet, S.; Gerfault, L.; Mery, E.; Strubel, G.; Ricoul, F.; Grangeat, P.)
Abstract	This paper presents a full proteomics analysis LC-MS (Liquid Chromatography-Mass Spectrometry) chain combining bio, nano and information technologies in order to quantify targeted proteins in blood sample. The objective is to enable an early detection of pancreatic cancer. We focus on the data processing step which estimates the proteins' concentration. First, we pre-process the data in order to correct time shift between the experiments. We propose to use block matching algorithm. Second, quantification of protein is performed using chemometrics approaches and more precisely CLS, PLS, N-PLS and PARAFAC algorithms. Performances of the various methods have been compared on cytochrome c protein LC-MS analyses.
Starting Page	5983
Ending Page	5986
File Size	339207
Page Count	4
File Format	PDF
ISBN	9781424407873
ISSN	1557170X
DOI	10.1109/IEMBS.2007.4353711
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-22
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Proteins Proteomics Information analysis Spectroscopy Information technology Blood Cancer detection Pancreas Data processing Performance analysis
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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