Name
Title | ||
|---|---|---|
Prospective Exploration Of Biochemical Tissue Composition Via Imaging Mass Spectrometry Guided By Principal Component Analysis |
Abstract | ||
|---|---|---|
MALDI-based Imaging Mass Spectrometry (IMS) is an analytical technique that provides the opportunity to study the spatial distribution of biomolecules including proteins and peptides in organic tissue. IMS measures a large collection of mass spectra spread out over an organic tissue section and retains the absolute spatial location of these measurements for analysis and imaging. The classical approach to IMS imaging, producing univariate ion images, is not well suited as a first step in a prospective study where no a priori molecular target mass can be formulated. The main reasons for this are the size and the multivariate nature of IMS data. In this paper we describe the use of principal component analysis as a multivariate pre-analysis tool, to identify the major spatial and mass-related trends in the data and to guide further analysis downstream. First, a conceptual overview of principal component analysis for IMS is given. Then, we demonstrate the approach on an IMS data set collected from a transversal section of the spinal cord of a standard control rat. |
Year | Venue | Keywords |
|---|---|---|
2007 | PACIFIC SYMPOSIUM ON BIOCOMPUTING 2007 | prospective study,principal component analysis,mass spectrometry,mass spectra |
Field | DocType | ISSN |
Biology,Multivariate statistics,Tissue section,Mass spectrum,Preprocessor,Analytical technique,Mass spectrometry imaging,Bioinformatics,Univariate,Principal component analysis | Conference | 2335-6936 |
Citations | PageRank | References |
4 | 0.99 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Raf Van de Plas | 1 | 55 | 3.67 |
| Fabian Ojeda | 2 | 65 | 4.60 |
| Maarten Dewil | 3 | 4 | 0.99 |
| Ludo Van Den Bosch | 4 | 4 | 1.32 |
| Bart De Moor | 5 | 5541 | 474.71 |
| Etienne Waelkens | 6 | 7 | 2.06 |