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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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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container_start_page 139
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creator Lit-Hsin Loo
Quinn, J.
Armitage, J.
Cordingley, H.
Roberts, S.
Bugelski, P.J.
Hrebien, L.
Kam, M.
description 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_str_mv 10.1109/NEBC.2002.999504
format conference_proceeding
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Analysis of variance
Clustering algorithms
Drugs
Fingerprint recognition
Liver
Mass spectroscopy
Rats
Surface emitting lasers
Throughput
Toxicology
title Classification of polypeptide spectra from rat liver samples
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