Classification Of Polypeptide Spectra From Rat Liver Samples

PROCEEDINGS OF THE IEEE 28TH ANNUAL NORTHEAST BIOENGINEERING CONFERENCE(2002)

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摘要
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.
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关键词
hepatotoxicity, hierarchical clustering, matrix assisted laser desorption/ionization, polypeptide spectra, predictive toxicology, SELDI
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