Statistical Classification and Visualization of MALDI-Imaging Data

Author

Gerhard, Marc ; Deininger, Sören-Oliver ; Schleif, Frank-Michael

Author_Institution

Bruker Daltonik GmbH, Bremen

fYear

2007

fDate

20-22 June 2007

Firstpage

403

Lastpage

405

Abstract

Proteomic profiling based on mass spectrometry (ms) is an important tool for studies at the protein and peptide level. Thereby, the identification of relevant masses for a specific kind of disease, discriminating classification models as well as a reliable visualization is complicated. For the analysis of tissue sections the new technique of MALDI-Imaging has been introduced, which results in new data analysis challenges. Here we present a method for the analysis and visualization of MALDI Imaging spectra applied on a clinical cancer data set.

Keywords

cancer; image classification; laser applications in medicine; mass spectroscopy; medical image processing; molecular biophysics; photoionisation; photon stimulated desorption; proteins; tumours; MALDI imaging; clinical cancer data set; data visualization; disease; mass spectrometry; peptide; protein; proteomic profiling; statistical classification; tissue sections; Cancer; Data analysis; Data visualization; Image analysis; Mass spectroscopy; Packaging; Principal component analysis; Proteomics; Support vector machine classification; Support vector machines; class imaging; clinical proteomics; data analysis; maldi imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Based Medical Systems, 2007. CBMS '07. Twentieth IEEE International Symposium on

Conference_Location

Maribor

ISSN

1063-7125

Print_ISBN

0-7695-2905-4

Type

conf

DOI

10.1109/CBMS.2007.99

Filename

4262682