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The Biodata toolbox for MATLAB

Kris De Gussem UGent, Joke De Gelder, Peter Vandenabeele UGent and Luc Moens UGent (2009) CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. 95(1). p.49-52
abstract
This paper describes "The Biodata toolbox for MATLAB". a free software toolbox for MATLAB. Biodata is the result of a PhD project in Raman spectroscopy and is available under the GNU Public License 3. It is a system that consequently stores spectra and related data in a single data structure. Biodata provides a framework for straightforward utilisation of preprocessing algorithms that apply existing chemometric models on unknown data. This paper is not an attempt to summarize or review work on the supported techniques, such as 2D correlation analysis, spectral processing or sample identification, but it is rather intended to inform the reader on the existence, functionality and applicability of the Biodata 1.0 toolbox for MATLAB.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
Raman spectroscopy, data processing
journal title
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
Chemometrics Intell. Lab. Syst.
volume
95
issue
1
pages
49 - 52
Web of Science type
Article
Web of Science id
000262599800005
JCR category
INSTRUMENTS & INSTRUMENTATION
JCR impact factor
2.111 (2009)
JCR rank
6/55 (2009)
JCR quartile
1 (2009)
ISSN
0169-7439
DOI
10.1016/j.chemolab.2008.08.003
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
482923
handle
http://hdl.handle.net/1854/LU-482923
date created
2009-02-10 09:14:21
date last changed
2015-06-17 11:07:49
@article{482923,
  abstract     = {This paper describes {\textacutedbl}The Biodata toolbox for MATLAB{\textacutedbl}. a free software toolbox for MATLAB. Biodata is the result of a PhD project in Raman spectroscopy and is available under the GNU Public License 3. It is a system that consequently stores spectra and related data in a single data structure. Biodata provides a framework for straightforward utilisation of preprocessing algorithms that apply existing chemometric models on unknown data. This paper is not an attempt to summarize or review work on the supported techniques, such as 2D correlation analysis, spectral processing or sample identification, but it is rather intended to inform the reader on the existence, functionality and applicability of the Biodata 1.0 toolbox for MATLAB.},
  author       = {De Gussem, Kris and De Gelder, Joke and Vandenabeele, Peter and Moens, Luc},
  issn         = {0169-7439},
  journal      = {CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS},
  keyword      = {Raman spectroscopy,data processing},
  language     = {eng},
  number       = {1},
  pages        = {49--52},
  title        = {The Biodata toolbox for MATLAB},
  url          = {http://dx.doi.org/10.1016/j.chemolab.2008.08.003},
  volume       = {95},
  year         = {2009},
}

Chicago
De Gussem, Kris, Joke De Gelder, Peter Vandenabeele, and Luc Moens. 2009. “The Biodata Toolbox for MATLAB.” Chemometrics and Intelligent Laboratory Systems 95 (1): 49–52.
APA
De Gussem, K., De Gelder, J., Vandenabeele, P., & Moens, L. (2009). The Biodata toolbox for MATLAB. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 95(1), 49–52.
Vancouver
1.
De Gussem K, De Gelder J, Vandenabeele P, Moens L. The Biodata toolbox for MATLAB. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. 2009;95(1):49–52.
MLA
De Gussem, Kris, Joke De Gelder, Peter Vandenabeele, et al. “The Biodata Toolbox for MATLAB.” CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 95.1 (2009): 49–52. Print.