Classification of polypeptide spectra from rat liver samples

Author

Loo, Lit-Hsin ; Quinn, John ; Armitage, James ; Cordingley, Hayley ; Roberts, Samuel ; Bugelski, Peter J. ; Hrebien, Leonid ; Kam, Moshe

Author_Institution

Drexel Univ., Philadelphia, PA, USA

fYear

2002

fDate

2002

Firstpage

139

Lastpage

140

Abstract

We use clustering-based algorithms to classify polypeptide spectra of treated rat liver samples obtained through surface enhanced laser desorption/ionization mass spectrometry (SELDI-MS). Variance analysis is used to extract useful features from the high dimensional datasets. The features are then clustered using a hierarchical clustering algorithm based on scaled Euclidean distances. The clusters created are found to be correlated to the toxicity of the rat liver samples

Keywords

biochemistry; biological techniques; feature extraction; liver; mass spectroscopic chemical analysis; measurement by laser beam; organic compounds; spectral analysis; hepatotoxicity; hierarchical clustering; high dimensional datasets; matrix assisted laser desorption; matrix assisted laser ionization; polypeptide spectra; predictive toxicology; scaled Euclidean distances; useful features extraction; variance analysis; Analysis of variance; Clustering algorithms; Drugs; Fingerprint recognition; Liver; Mass spectroscopy; Rats; Surface emitting lasers; Throughput; Toxicology;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioengineering Conference, 2002. Proceedings of the IEEE 28th Annual Northeast

Conference_Location

Philadelphia, PA

Print_ISBN

0-7803-7419-3

Type

conf

DOI

10.1109/NEBC.2002.999504

Filename

999504