Classification of polypeptide spectra from rat liver samples

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 c...

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Bibliographic Details
Main Authors: Lit-Hsin Loo, Quinn, J., Armitage, J., Cordingley, H., Roberts, S., Bugelski, P.J., Hrebien, L., Kam, M.
Format: Conference Proceeding
Language:English
Subjects:
Analysis of variance
Clustering algorithms
Drugs
Fingerprint recognition
Liver
Mass spectroscopy
Rats
Surface emitting lasers
Throughput
Toxicology
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Summary: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.
DOI:10.1109/NEBC.2002.999504