Classification of polypeptide spectra from rat liver samples

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

Research output: Contribution to conferencePaperpeer-review


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.

Original languageEnglish (US)
Number of pages2
StatePublished - Jan 1 2002
Externally publishedYes
EventIEEE 28th Annual Northeast Bioengineering Conference - Philadelphia, PA, United States
Duration: Apr 20 2002Apr 21 2002


OtherIEEE 28th Annual Northeast Bioengineering Conference
CountryUnited States
CityPhiladelphia, PA

All Science Journal Classification (ASJC) codes

  • Bioengineering


  • Hepatotoxicity
  • Hierarchical clustering
  • Matrix assisted laser desorption/ionization
  • Polypeptide spectra
  • Predictive toxicology

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