A Time Series Based Approach for Classifying Mass Spectrometry Data

CC
CBMS
2007
Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07)
Abstract - A Time Series Based Approach for Classifying Mass Spectrometry Data

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	Similar Articles Articles by F. Gullo Articles by G. Ponti Articles by A. Tagarelli Articles by G. Tradigo Articles by P. Veltri

Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07)

Maribor, Slovenia

June 20-June 22

ISBN: 0-7695-2905-4

	ASCII Text	x
	F. Gullo, G. Ponti, A. Tagarelli, G. Tradigo, P. Veltri, "A Time Series Based Approach for Classifying Mass Spectrometry Data," Computer-Based Medical Systems, IEEE Symposium on, pp. 412-420, Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07), 2007.

	BibTex	x
	@article{ 10.1109/CBMS.2007.16, author = {F. Gullo and G. Ponti and A. Tagarelli and G. Tradigo and P. Veltri}, title = {A Time Series Based Approach for Classifying Mass Spectrometry Data}, journal ={Computer-Based Medical Systems, IEEE Symposium on}, volume = {0}, year = {2007}, issn = {1063-7125}, pages = {412-420}, doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2007.16}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer-Based Medical Systems, IEEE Symposium on TI - A Time Series Based Approach for Classifying Mass Spectrometry Data SN - 1063-7125 SP412 EP420 A1 - F. Gullo, A1 - G. Ponti, A1 - A. Tagarelli, A1 - G. Tradigo, A1 - P. Veltri, PY - 2007 KW - null VL - 0 JA - Computer-Based Medical Systems, IEEE Symposium on ER -

F. Gullo, Universita della Calabria, Italy

G. Ponti, Universita della Calabria, Italy

A. Tagarelli, Universita della Calabria, Italy

G. Tradigo, Universita di Catanzaro, Italy

P. Veltri, Universita di Catanzaro, Italy

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.2007.16

This paper presents a methodology to mine spectra data based on time-series analysis. MALDI-TOF spectra are modelled as time series using a compact yet feature-rich representation scheme. Experiments show that classifying mass spectrometry series is effective and can be useful for identifying peaks in spectra that can be associated to discriminant proteins.

Citation:

F. Gullo, G. Ponti, A. Tagarelli, G. Tradigo, P. Veltri, "A Time Series Based Approach for Classifying Mass Spectrometry Data," cbms, pp.412-420, Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07), 2007

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