Statistical classification and visualization of MALDI-Imaging data

被引：8

作者：

Gerhard, Marc ^{[1
]}

Deininger, Soeren-Oliver ^{[1
]}

Schleif, Frank-Michael ^{[2
]}

机构：

[1] Bruker Daltonik GmbH, D-28359 Bremen, Germany

[2] Univ Leipzig, Dept Med, D-04107 Leipzig, Germany

来源：

TWENTIETH IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, PROCEEDINGS | 2007年

关键词：

data analysis; maldi imaging; class imaging; clinical proteomics;

D O I：

10.1109/CBMS.2007.99

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Proteomic profiling based on mass spectrometry (ms) is an important toot 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.

引用

页码：403 / +

页数：2