DocumentCode :
2471182
Title :
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
Link To Document :
بازگشت